What Words To Know In The Fitness (Part 1)

book definition pens pencils

This part of what words to know in the fitness is about physiology to know the mechanisms of living creatures. If you’re curious about why I’m doing it, click here. The definitions come from, or a mix from these three dictionaries:

Several dictionaries can help to better understand a word.

Matter

  1. The matter is a material object.
  2. In the field of science, physics, the matter is an element that occupies space and the force can move it.

Energy

  1. Energy is the force that comes from sources such as food, fuel, electricity or other. It allows to do a task or produce a movement.
  2. Energy is the intellectual or physical power of an individual to do a work

Organism

The organism is a living creature like a plant, animal or human being

Cell

Cell the main denomination of all living creatures.

It exists living things with only one cell. The human being has more than 37 trillions of cells.

Cells born, multiply, create energy, transfer information and die.

Tissue

The tissue is a set of cells in living creatures. This creates a type of physical structure with defined behavior.

Organ

An organ is a set of tissues. All tissues combined have the function of performing a task in an organism such as the lungs, skin or heart.

Beware, skeletal muscle has only one type of tissue, so it is not considered an organ.

Muscle

Muscle is a type of tissue. It is usually connected to the bones and contracts and relaxes to create a movement.

Muscle fiber

A muscle fiber has several names as a muscle cell or myocyte. It is a group of long filiform strands named contracted myofibrils.

Skeletal muscle

Skeletal muscle is muscle tissue. It linked to the skeleton to help the body move the limbs and other body parts.

Chemistry

Chemistry is a scientific field. It studies the composition, the properties and the reaction of matter.

Chemical

  1. Chemistry is the act of interacting materials studied in chemistry.
  2. A chemical is a material that can have a chemical process or change.

There exist natural and man-made chemicals

Element

An element (chemical element) is a material that it’s not possible to decompose into little parts.

More than 100 are the main components of matter.

Gram

One gram is a metric unit of weight. One pound is about 454 grams.

Kilogram

One kilogram is a metric unit of weight. 1,000 grams is about 2.2 pounds.

Celsius

Celsius is a scale of temperature on which water freezes at 0 degrees and boils at 100 degrees.

Fahrenheit is a scale of temperature on which water freezes at 32 degrees and boils at 212 degrees. The United States uses Fahrenheit.

Calorie

A calorie is energy needed to raise the temperature of 1 kilogram of water by 1 degree Celsius.

Calories are also called kilocalories (1000 calories). Kilocalories are convenient for measuring the energy value of foods.

Compound

A compound is a material composed of two or more diverse components.

Molecule

A molecule is the smallest particle of a component in a material.

If you break it down, it becomes the element that created the molecule.

Acid

An acid is a chemical material that reacts with another material. It can also dissolve certain elements.

Amino acid

An amino acid is a natural item in proteins

Essential amino acid

An essential amino acid is an amino acid important to keep the body healthy. The body can’t create it itself, but it’s available in food.

Protein

A protein is a natural item in a chain of amino acids. Proteins produce body tissues (skin, hair, muscle, etc).

Fat

  1. Fat is a greasy or oily item in a creature living.
  2. Fat is a material from animal or plant use to cook in the form of liquid or solid.

Carbohydrate

A carbohydrate is a molecule build with hydrogen, oxygen, and carbon. The body uses it for energy.

Gas

Gas is a material in the form of air.

Carbon

Carbon is a material non-metallic in a lot of matter on earth and in all living creatures.

Oxygen

Oxygen is an essential gas for living creatures. It has neither odor nor color.

Hydrogen

Hydrogen is a flammable gas without odor or color. The universe is full of it.

Enzyme

An enzyme is a material created by organisms. It provokes chemical reactions.

Digestion

Digestion is the mechanism of decomposition of food into different elements. After, the body can use those elements.

Metabolism

Metabolism is a physical and chemical mechanism in an organism to preserve life.

Metabolism produces energy to create, preserve and destroy cells and tissues.

Anabolism

Anabolism is a metabolic mechanism in an organism. This mechanism uses energy to create complex materials from simple materials. For example, to create tissue, it uses proteins.

Anabolism is also called constructive metabolism.

Catabolism

Catabolism is a metabolic mechanism in an organism. This mechanism decomposes complex materials in simple materials. For example, it breaks down proteins into amino acids. It also produces energy.

Catabolism is also called destructive metabolism.

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-Steph

Carbohydrate

carbohydrate, bread, rice, pasta, potato

What’s up ? This is THE stephane ANDRE. With my training, I’m interested in nutrition to stay in shape. I read some advice from Arnold Schwarzenegger and I learned some good stuff.

Carbohydrates are the main source of energy in the body. All carbohydrates are sugars that are molecules containing carbon, hydrogen and oxygen. Glucose is synthesis by plants through the photosynthesis process (using the sun’s energy) or by animals during the glycogen synthesis process. But be careful when I talk about glucose (sugar), I’m not talking about table sugar. There are several categories of glucoses (sugars). Here they are:

Monosaccharides

  • Glucose (blood sugar)
  • Fructose (fruit sugar)
  • Galactose (a kind of milk sugar)

Oligosaccharides

  • Sucrose(table sugar)
  • Lactose(milk sugar)
  • Maltose (malt sugar)

Polysaccharides

  • Plant polysaccharides(starch and cellulose)
  • Animal polysaccharides (glycogen)

The speed of which carbohydrate metabolized are measured with the glycemic index. A high glycemic index (a large increase in serum glucose) indicate that carbohydrates metabolized rapidly. A low glycemic index (a small increase in serum glucose) indicates that carbohydrates metabolized slowly or differently.

What’s cool now I being able to check the gylcemic index of foods on internet. For example, Chinese restaurant rice has a very high glycemic index compared to brown rice or wild rice.

carbohydrate, bread, rice, pasta, potato

Carbohydrates are the easiest type of food to turn into energy for the body. When carbohydrates converted to glucose, glucose circulates in the blood and helps muscle contraction. Glycogen in the muscle and liver stored for future use. A supply of carbohydrates is necessary for an ambitious bodybuilder for several reasons:

  1. Carbohydrates are a basic type of energy. Carbohydrate stored in the muscles in the form of glycogen will allow to train intense and heavy.
  2. Size of muscles increases when the body stores glycogen and water in individual muscle cells.
  3. Carbohydrates in the body have an effect that prevents the body from burning excess protein to create energy.
  4. Glucose is the main source of energy for the brain to be operational. Carbohydrate deprivation can have very negative effects on mood, personality and mental abilities.

There is a reason why carbohydrates are really needed as fuel for a workout. This is because most exercises are anaerobics exercises. Anaerobics exercises are flushed through intense puffs and exceed the body’s ability to provide enough oxygen to sustain the effort. But the carbohydrates structure allows to continue feeding the muscles during an exercise for a short period without oxygen. Therefore, when you do intensive weight training or you run a 100 meter sprint, your energy for these efforts is mainly composed of carbohydrates.

Carbohydrate supplement

carbohydrate, supplement, powder

Intense training creates a demand in the body to replace glycogen and amino acids. Be careful that your body contains enough carbohydrates after training, otherwise your body may start using amino acids (protein) as a source of energy. The period during which the body is in very high demand for carbohydrates is shorter than for proteins. The best results are obtained when you give the necessary carbohydrates to your body about 20 minutes after your training.

This need for immediate replacement of glycogen is the reason why many bodybuilders use a carbohydrate supplement after training with a protein supplement. It’s very useful when you do a strength training with a cardiovascular session (treadmill, stepper or bike). If you do cardio too soon after your strength training, you’ll be depriving your body of carbohydrates. And as you lack energy, your body will quickly use your amino acids (protein) to create the energy that is missing.

Subscribe to my newsletter and share this article if you think it can help someone you know. Thank you.

-Steph

P.S. If you’re in Miami and you like Caribbean food, go to my cousin’s bistro to eat Haitian food, click here .

Articular Cartilage Injuries

articular cartilage injury

What’s up ? This is THE stephane ANDRE. With my training, I’m interessted in biomechanics to avoid injuries. I read « Sport Medicine Media Guide » and I learned some good stuff.

Definition

Articular cartilage is difficult to understand because there are 3 types of cartilages in the body : articular of hyaline cartilage (covers joint surfaces), fibrocartilage (knee meniscus, vertebral disk) and elastic cartilage (outer ear). These cartilage’s types differ in their structure, elasticity and strength.

Articular cartilage is a complex element, it’s a living tissue that is on the joint’s surface. The function is to provide a low friction surface to allow the joint to withstand weight loads through the range of motion needed to perform activity of daily living. To put it simply, articular cartilage is a very thin shock absorber. It’s built in 5 distinct layers and each layer has a structural and biochemical difference.

Injury

articular cartilage injury

Articular cartilage injury may be due to trauma or progressive degeneration (wear and tear). This can be mechanical destruction, a direct blow or other trauma. The healing of articular cartilage cells depends on the severity of the damage and the location of the lesion. Articular cartilage has no direct blood supply so it has very little ability to repair itself. It the lesion penetrates the bone under the cartilage, the bone provides blood in the area which improves the chances of healing.

Mechanical degeneration (wear and tear) of articular cartilage occurs with progressive loss of normal cartilage structure and function. This loss begins with the softening of the cartilage, then progresses to fragmentation. As the loss of articular cartilage lining continue, the underlying bone no longer has any protections against normal wear and tear of daily life and begins to get damaged leading to osteoarthritis.

In many cases, a patient experiences knee swelling and vague pain. At this stage, continuous physical activity isn’t possible. If a loose body is present, words such as « locking » or « catching » might be used to explain the problem. With wear and tear , the patient often experiences stiffness, decreased range of motion, joint pain and/or swelling.

Diagnostic

The physician examines the knee to look for a decrease in range of motion, pain along the joint line, swelling, fluid on the knee, abnormal alignment of the joint’s bones, and ligament or meniscal injury.

Cartilage lesions are difficult to diagnose and it’s possible that the use of magnetic resonance imaging (MRI) or arthroscopy may be necessary. Plain X- rays don’t usually diagnose articular cartilage problems but they used to rule out other abnormalities.

Treatment

articular cartilage injury treatment

 

Articular cartilage injury that doesn’t penetrate the bone doesn’t repair itself. A lesion that penetrates the bone can heal but the type of cartilage created is structurally unorganized and doesn’t work as well as the original cartilage.

Lesion less than 2 cm have the best prognosis and the best treatment options. These options are arthroscopic surgery using techniques to remove damaged cartilage and increase blood flow from the underlying bone (drilling, pick procedure or microfracture ).

For smaller lesion of articular cartilage surgery is not required.

For larger lesion, it’s necessary to transplant the articular cartilage from another area of the body. Talk to your doctor or specialist to have more information about the decision to have a surgical operation.

For patients with osteoarthritis, non-surgical treatment consists of physical therapy, lifestyle modification (for example reducing activity), bracing, supportive devices, oral and injection drugs (like non-steroidal inflammatory drugs, cartilage protective drugs) and medical management.

Surgical options depend on the severity of osteoarthritis and may provide a reduction in symptoms that are usually short-lived. Total osteoarthritis may relieve the symptom of advanced osteoarthritis but this usually requires a change in the lifestyle and/or level of activity of the patient.

Statistics

Based on published studies, the overall prevalence of articular cartilage injury in the knee is 36% among all athlete and 59% among asymptomatic basketball players and runners.

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-Steph

Chi-Square Test With More Than 2 Categories

tableau chi square test

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

In this article, we will do a Chi-square test with more than 2 categories. We will use the A/B test « Country » which has 3 categories which corresponds to 3 countries : German, Spain and France. Select « Gender Actual » tab, make a copy with a right-click and select « Duplicate ».

tableau chi square test

Name the tab « Gender Actual (2) » by « Country Actual ».

tableau chi square test

In « Dimensions », move the variable « Geography » over « Gender » in « Columns » to replace « Gender » with « Geography ».

tableau chi square test

tableau chi square test

Here’s how to do an A/B statistical test when there are 3 categories. We’ll start with the classic method and then I’ll show you another way to do Chi-square test with any number of categories.

Let’s start with the classical method. In this case, there are 3 categories so we can’t use the online tool of the previous article. In the previous article we used an online tool with only 2 categories « Sample1 » and « Sample2 ». That’s why we’re going to use another online tool, click here  .

tableau chi square test

In this online tool, we can enter the values without using the total values. That is, we enter only the number of observations in each category. We simply need to enter the values that are on our A/B test. And I’m going to show you how to turn our A/B test into a table. In this way, it will be easier to enter the values in the online tool without making any mistakes.

Go to the « Show me » tool at the top right.

tableau chi square test

Click on « text tables »

tableau chi square test

tableau chi square test

Click on « Swap Rows ans Columns » button.

tableau chi square test

tableau chi square test

Cool, now you have a table arranged in exactly the same way as the online tool.

In the online tool, we will select 2 rows and 3 columns.

tableau chi square test

As we have 3 categories and 2 possible results, we enter our values exactly as in the table we just created on Tableau.

tableau chi square test

Perfect, our table is ready. You can click on the « Calculate » button.

tableau chi square test

tableau chi square test

As you can see, we observe the same thing as the other online tool. There is our indicator « p » value which is less than 5%. Which means there is a meaning.

tableau chi square test

This statistical significance means that these results are valid for the total number of the bank’s clients and not just for the sample of 10 000 clients. We observe similar differences with A/B test « Country » whose results are based solely on the sample of 10 000 clients. We can conclude that in the total number of the bank’s clients, it’s the clients in Germany who are more likely to leave the bank. This is how we do things cleanly.

You saw, this online tool limited by 5 by 5 tables so you can’t use this tool when you have 6 categories or more. But fortunately it’s possible to do Chi-square test with any number of categories. It’s a special method and for you to understand that, I’ll give you a theoretical explanation.

Here we have 3 countries : German, Spain and France.

tableau chi square test

What we’re trying to compare is the clients number leaving the bank in each of these countries.

tableau chi square test

With our basic A/B test based on a sample of 10 000 clients, we obtained 16% for France, 32% for Germany and 17% for Spain. Now the question is : « Do we observe the same results on the total clients number of the bank ? », it means : « In general, does the country have a significant effect on the clients number leaving bank ? ». Germany has the largest number of clients leaving the bank so the idea is : « Why would we need to compare the 3 countries at the same time ? ».

tableau chi square test

If we do an A/B test statistical test with Germany and France and we get a significant difference in the clients number leaving the bank between these 2 countries, then that would mean that in general, the country has a significant effect on the clients number who bank. Indeed, if we find by comparing Germany and France that the Germans are more likely to leave the bank than the French, we can consider that Spain will not change anything. Germans will always be more likely to leave the bank than the French. Maybe there will be a different relationship between Germany and Spain but there will always be a statistically significant difference between France and Germany with a larger number of clients leaving the bank in Germany than France.

Here is a way to confirm that this logic is true. There is a test and the participants of this test are German, Spanish and French. Imagine that this test was done without looking at what is happening in Spain. Now you get the result and you ask yourself the question : « Would the results changed if you added Spain ? ». The answer is « no » because there is no interdependence between Germany, Spain and France. That is, the decision to leave the bank in France and Germany doesn’t depend on Spain. And therefore, it’s quite correct to separate the categories by putting 1 aside to compare the 2 others. And as now we have 2 categories, we can do a Chi-square test with the online tool that we used in the previous article.

So let’s go back to our worksheet and put a country aside to compare only 2 countries. Select « Country » tab.

tableau chi square test

What we observe is that the difference between Spain and France is very small, so it wouldn’t be interesting to do a Chi-square test between Spain and France. It’s more interesting to do a Chi-square test between Germany and France and to prove that there is a statistically significant difference between these 2 countries. This will be enough to conclude that the country has a statistically significant impact on the clients number who leave the bank.

Selects « Country Actual » tab.

tableau chi square test

We will use the online tool of the previous article, click here  .

We will make a copy of « Country Actual » to have a bar chart with absolute values. Select « Country Actual », right-click and select « Duplicate ».

tableau chi square test

In « Show Me », select « horizontal bars ».

tableau chi square test

tableau chi square test

Removes « SUM (Number of Records )» from « Columns » and removes « Exited » and « Geography » from « Rows ».

tableau chi square test

tableau chi square test

In « Dimensions », move « Geography » in « Columns ».

tableau chi square test

tableau chi square test

In « Measures », move « Number of Records » to « Rows ».

tableau chi square test

tableau chi square test

In « Measures », move « SUM(Number of Records) » in « Label ».

tableau chi square test

tableau chi square test

In « Dimensions », move « Exited » in « Label ».

tableau chi square test

tableau chi square test

In « Dimensions », move « Exited » in « Colors ».

tableau chi square test

tableau chi square test

We also need total absolute values, which means the total number of men and women. There is a very fast way to get that. Right-click on the vertical axis and select « Add Reference Line ».

tableau chi square test

Then in « Value », click on the drop-down on the right and select « Sum » to have the total sum of the observations.

tableau chi square test

And in « Scope », you select « Per Cell » option to specify that you want the total sums for each category, male and female.

tableau chi square test

Now, we have the total sum at the top of the bars. We will modify labels to have the absolute values. In « Label », we will change « Computation » to « Value » and click on the « OK » button.

tableau chi square test

tableau chi square test

tableau chi square test

Here’s how to enter the data :

For « Sample1 » in #success, you enter 810 because there are 810 people who left the bank. For « Sample1 » in #trials, you enter 5014 because there are 5014 people in total.

For « Sample2 » in #success, you enter 814 because there are 814 people who left the bank. For « Sample2 » in #trials, you enter 2509 because there are 2509 people in total.

tableau chi square test

Here is the verdict : « Sample2 is more successful ». « Sample2 » corresponds to German’s clients and #success is :« yes, the client left the bank ». This verdict means that of all the clients from German are more likely to leave the bank than clients from France. And look, there is something important, it’s « p<0.001 ». This means that the « p » is strictly less than 0.001. As you can see, « p » value is very small, which concludes that the tests are statistically significant.

Ooh, there’s another thing I wanted to show you with the tab « age » with the 2 bar charts in parallel.

tableau chi square test

As you can see, there are many categories (more than 5) because each category corresponds to a 5-year ago group with clients of the bank aged from 15 to 90 years old. This is a lot of comparison but it would be a good exercise for you to find what are the 2 categories to compare that shows that there is a significant statistic difference.

I give you a hint, compare slices from 50 to 54 years old or from 35 to 39 years olds. In fact, you should compare all peer categories where you observe difference on this basic A/B test. Do a basic A/B test with absolutes values. Then do a Chi-square test to check if the difference is statistically significant, I mean, if the result is valid for the total number of bank’s clients.

This is a way to statistically validate the insights we see onTableau. You see, it’s not very difficult and it’s effective. Here is a way to find insights on Tableau and validate them.

Subscribe to my newsletter and share this article if you think it can help someone you know. Thank you.

-Steph

Validate Data Mining In Tableau With A Chi-Square Test

validate validation

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

In this article we will start using statistics. Don’t worry we’ll do something simple, we’ll use the Chi-square test in a basic way. There is a special section to learn how to do statistics at an advanced level.

I’ll explain why we’re going to learn how to use the Chi-square test. The results we have with theses 2 bar charts are good. We see on theses 2 bar charts that age has a significant impact on the rate of client leaving the bank. We also see in which age groups the clients leaves the bank the most and which age groups the clients leave the bank the least. With that we have good insights.

In the A/B test « Gender », we can see that there is a correlation between the male and female sex and the choice to leave the bank. But as I said before, this A/B test is basic. The results of a basic A/B test visually shows us what is probably happenning in reality but we aren’t 100% sure of these results. To validate these results, we need do to use statistical tests like Chi-square test.

Doing a report based on basic A/B test is very risky and you can have completely false insights. I don’t advise you to do it (unless you want to leave your job). It’s for this reason that using Chi-square will help us to have strong insights.

Chi-square will allow us to know if our results are statistically significant. Our results are based on a sample of 10 000 clients and Chi-square test will tell us if these results are due to chance effects or if these results can represent all the client of the bank.

For example in our A/B test « Gender », we observed that in our sample of 10 000 clients, women are more likely to leave the bank compared to men.

tableau data mining science chi square test a/b test

Now, we aren’t sure if the results of this sample represent the behavior of all the bank’s clients.

To use basic Chi-square test, we use an online tool. Click here  .

tableau data mining science chi square test a/b test

On internet, there are plenty of websites to do a Chi-square test but we’ll use this one so that you can understand how it works. To do a Chi-square test, we need to use absolute values and in our A/B test we have percentage.

Let’s go back to Tableau. We’ll create a new tab with a version of A/B test with absolute values. In this way, we keep the A/B test with the percentages. Do a right-click on the « Gender » tab and select « Duplicate ».

tableau data mining science chi square test a/b test

Name the new tab « Gender Actual » to specify that it’s absolute values.

tableau data mining science chi square test a/b test

To have the absolute values, move « Number of Records » in « Measures » to the « Marks » area and put it over top of « SUM(Number of Records ».

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Move « Number of Records » in « Measures » to « Rows » over « SUM(Number of Records ».

tableau data mining science chi square test a/b test

Cool, we have our absolute values.

tableau data mining science chi square test a/b test

We also need total absolute values, which means the total number of men and women. There is a very fast way to get that. Right-click on the vertical axis and select « Add Reference Line ».

tableau data mining science chi square test a/b test

Then in « Value », click on the drop-down on the right and select « Sum » to have the total sum of the observations.

tableau data mining science chi square test a/b test

And in « Scope », you select « Per Cell » option to specify that you want the total sums for each category, male and female.

tableau data mining science chi square test a/b test

Now, we have the total sum at the top of the bars. We will modify labels to have the absolute values. In « Label », we will change « Computation » to « Value » and click on the « OK » button.

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Perfect, we have the total amount of observation at the top of each bar : 4543 women and 5457 men. We have what we need to use our online tool.

tableau data mining science chi square test a/b test

OK, I’ll explain how this tool works. « Sample1 » and « Sample2 » correspond to the independent variable « Gender ». You choose in which order you enter the data, « Sample1 » for men or the opposite. In our case, we use « Sample1 » for women and « Sample2 » for men.

« #success » corresponds to the result Y=1, which means in our case « yes, the client left the bank ».

« #trials » is the total number of observations, which means the total number of women in « Sample1 » and the total number of men « Sample2 ».

That’s how you enter the data :

  • For « Sample1 » in #success, you enter 1139 because there are 1139 women who left the bank. For « Sample1 » in #trials, you enter 4543 because there are 4543 women in total.

 

  • For « Sample2 » in #success, you enter 898 because there are 898 men who left the bank. For « Sample2 » in #trials, you enter 5457 because there are 5457 men in total.

tableau data mining science chi square test a/b test

Here is the verdict : « Sample1 is more successful ». « Sample1 » corresponds to women and #success is :« yes, the client left the bank ». This verdict means that of all the bank’s client, women are more likely to leave the bank than men. And look, there is something important, it’s « p<0.001 ». This means that the « p » is strictly less than 0.001.

tableau data mining science chi square test a/b test

« p » is the value that indicates whether an independent variable has a statistically significant effect on a dependent variable. In our case, the independent variable is « Gender » and the dependent variable is « Exited », which is : « yes, the client left the bank ». So « p » is strictly less than 0.001, which means that the independent variable « Gender » has a statistically significant effect on the dependent variable « Exited ». This shows us that out of the total number of bank’s clients, women are more likely to leave the bank than men.

This is how we use Chi-square test with this online tool. This is the same principle on all online tools that you can find on Google or DuckDuckGo . You can repeat these instructions that I gave you with other tools, you will get the same results.

It’s cool with the Chi-square we validated the A/B test and to specify that this A/B test is validated, we’ll color the tab in green.

Right-click on the tab, select « Color » and select « Green ».

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Perfect, now we’ll validate another A/B test. Selects « HasCreditCard » tab.

tableau data mining science chi square test a/b test

We’re going to create an A/B test « HasCreditCard » only with absolute values. To save time, right-click on « Gender Actual » tab and select « Duplicate ».

tableau data mining science chi square test a/b test

We’ll remove the green color on the tab « Gender Actual (2) ». Right-click on the tab and select « Color » and « None ».

tableau data mining science chi square test a/b test

You rename the tab « HasCreditCard Actual ».

tableau data mining science chi square test a/b test

Move the variable « HasCrCard » over « Gender » in « Columns ».

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Excellent, everything is ready to do a Chi-square test. We’ll remove « Exited » labels to better see the absolutes values. Make a click and drag out.

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Perfect, let’s go back to our online tool. In this case, « Sample1 » is « no », which means client who don’t have credit card and « Sample2 » for « yes », which means clients who have a credit card.

That’s how you enter the data :

  • For « Sample1 » in #success, you enter 613 because there are 613 clients who left the bank. For « Sample1 » in #trials, you enter 2945 because there are 2945 clients who don’t have a credit card.
  • For « Sample2 » in #success, you enter 1424 because there are 1424 clients who left the bank. For « Sample2 » in #trials, you enter 7055 because there are 7055 clients who have a credit card.

tableau data mining science chi square test a/b test

Let’s look at the verdict, it’s « No significant difference ». « p » value is very high, it’s above 5%. This confirms that the independent variable « HasCrCard » has no statistically significant effect on the dependent variable « Exited ». That was the conclusion we had made when we had done the A/B test with percentages.

We had seen that there was 21% of « Exited » (clients who left the bank) in the category « no » and 20% in the category « yes ». With these results we concluded that most likely the variable « HasCrCard » had no impact on the rate of clients who left the bank. Chi-square test confirms our conclusion and we can put the tab « HasCrCard » in green to say that it’s OK.

Right-click on the tab « HasCreditCard » => « Color » => « Green ».

tableau data mining science chi square test a/b test

tableau data mining science chi square test a/b test

Excellent, now, you can do a statistical A/B test with 2 categories. Soon, we will do statistical A/B tests with more than 2 categories.

Share this article if you think it can help someone you know. Thank you.

-Steph

Back To The Source Of Human Strength (Part 1)

source

I read a Nerd Fitness article  and I learned good stuff.

When I’m in gym, people tell me why they started to train. There are several reasons, lose weight, gain muscles or to be in shape for a special event. There is a golden rule to have result in strength training, it’s eat clean and lift heavy.

Everybody says it, eat clean and lift heavy but what does that means ? I think it’s time to go back to the source.

Why

why

The life is easier when we’re stronger, did you notice it ? By exemple, to carry bags from supermarket, to carry a piece of furniture, to run to be in time, etc. Everything is easier.

Strength training is extremely efficient to build muscle and burn fat. Whether to lose 6kg (15lbs) or 45kg (100lbs), it’s the same thing.

Strength training help to build muscle and lose fat but it also help to stop or even reverse sarcopenia (it’s skeletal muscle reduction with aging). Train our skeletal muscle allow us to be independant (therefore avoid nursing homes) and live longer.

The profits list isn’t finished yet.

A nice athletic body

Strength training help you keep your muscles while you’re in calories deficience and losing weight.

Strength training allows you to have a better oxygen consumption than aerobic exercices. After training your body needs to make a lot of efforts to recover and return to the normal state so the state you had before the training. Scientific studies have shown that your metabolism‘s level increase for 38 hours after your training.

Strength training increase your metabolism, increase your Resting Metabolic Rate (RMR) because your body needs more calories to keep your muscls than to keep your fat. It’s estimated that for each 4.45kg (1lbs) of muscle, your RMR increase of 30-35 calories.

Improve your health

Strength training help you to improve your balance and coordination, improve cholesterol’s rate, help to control blood sugar, stop muscle loss, improve blood flow, reduces your resting blood pressure, build a stronger heart and increase bone density.

Feel better

It’s clear with strength training you have more self-confidence, your have more energy, a better mood, less anxiety and less stress . It also improves the quality of your thoughts, a scientific study has shown that this increases the cognitive function .

It’s not advisable to do a strength training 1 hour before sleeping. On the other hand to train early in the day helps to prevent sleep apnea  and insomnia.

Prevents diseases and degenerative diseases

You notices that many men and women die because of cardiac disease. Stength training helps to solve problems that are factors of heart disease such as inactivity, diabets, obesity, high blood pressure and cholesterol. Cardiologists begin to advise strength training to people who have heart attack.

Strength training helps to manage and improve the lifestyle of people with clinical depression , cancer survivors , have had a spinal cord injury ,who have recently had a stroke , fibromyalgia , Lymphedema , Down Syndrome , Parkinson’s Disease , Osteoporosis  and Arthritis.

It’s fun

Strenght training helps to reach your goals whether an effective training of 20 minutes to have a good naked body or to do a sports competition. It’s fun to see our progress because it’s like increase level in a video game. If you want to be better in a sport like badminton or rock climbing, strength training is a good choice.

People who shouldn’t train

The only people I’ve found who shouldn’t train are people who have an injury and it’s a break that doesn’t last long. We’re human being and it’s natural to carry things and move. Strength training is recommended for pregnant women , children and teenagers  and even paraplegics .

Obviously, it recommanded to see his/her doctor before beginning a strength training program to adjust the training program.

Basic objections

objection

But I’m too old, it’s not reasonable

When people between 30 and 60 years old tell me that they’re too old, I laugh because it’s a lie. It’s like say : « I don’t have time » and later I see a messsage on Facebook like : « Yestersay, Game of the thrones was epic ! ». Scientific studies have shown that people between 70 and 90 years old had impressive results in 10 weeks .

Other scientific studies have shown that this helps to avoid dementia  and to delay Alzheimer’s .

People who think they’re too old to train are exactly people who should train.

But I just want to be better for a sport and I want to stay fit

Strength training improve your muscle’s endurance, scientific studies have shown it. Resistance exercices help to increases overall muscles endurance , fix nervous system problems and increase activation of motor units within your muscles.

I don’t want to bulk too much

It’s a great strength training’s myth, it’s not in 1 year than you’ll have the bodybuilder’s body no matter wheteher you’re a man or a woman.

For women, here 2 exemples of moms who have become strong and fit without having a bodybuilder body. This is the story of Veronica  and Bronwyn .

Have a the body of a famous bodybuilder doesn’t happen in one night. Naturally we don’t have the amount of homones to have the body of a famous bodybuilder. We need to eat a huge amount of food (8 000 – 10 000 calories per day) and a huge amont of drugs (no, no, it’s another type of pharmacy, it’s true).

I’m fat, I want only lose weight

I’m fat, I want only lose weight

It’s a good reason to start strenght training. By losing weight, you surely want to keep your muscles. I mean, yout want to keep your muscles while you lose fat. With strength training you lose quickly centimeters (inches) in different body’s parts. It’s true that the overall weight loss may seem slow, that’s why is important to track your measurements. With strenght training when you eat with a caloric deficit, it’s increase your metabolism so you lose fat.

It’s boring

What I like with strength training, it’s we can see our progress quickly. It’s like increase level in a video game. I think people get bored when they expect nothing to do between 2 sets. This is why I advise people to have headphones to listen to their own music selection or an audio book to increase motivation.

Muscles and strength training

muscle fiber

Don’t be fancy, it’s interesting to understand how our muscles work to avoid failling into the Matrix’s trap. What I mean is that the only person you gave to impress is yourself and not the others.

It’s our muscle fibers that are small muscle cells that build up our muscles. Our muscle fibers are long, cylindrical and have the size of a strand of hair. Our muscle fibers are composed of myofibrils surrounded by sarcoplasm. I really summarized that but if you want to see it in detail, click here .

We have around 642 skeletal muscles that work together to make move our body. Imagine, when you bend your arm, your biceps contracts and your triceps does the opposite (elongates) to let the elbow bend. Every muscle of your body work as a team to make you move.

We have different type of muscle fibers :

Slow twitch (Type 1 fibers)

Slow twitch fibers are used to convert oxygen into energy for a long period of time. They don’t move quickly to be resistant to fatigue. These are the fibers we use most for marathons.

Fast twitch (Type 2 fibers)

Fast twitch move quickly so they’re not resistant to fatigue. Our body has 2 categories of fast fibers. The type 2A fiber has an endurence characterisitc used for long sprints. The type 2X fiber has « super fast » characterisitc used to short sprints or lift weights. I really summarized that but if you want to see it in detail, click here .

Each individual has a different percentage of slow and fast fibers. It’s for this reason that people are naturally better to run long distances or sprints. It’s funny because we can see it in strength training with people who are better to do sets with high or low repetitions.

It’s the end of the first part and the second part is event more interessting.

Share this article if you think it can help someone you know. Thank you.

-Steph

P.S. To read Part 2, click here.