522 POSTS

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### Alpha Level

Whenever we do any kind of hypothesis testing there are two kinds of errors that can possible occur. These are known as Type 1 and Type 2 errors and are denoted as α (alpha)...

### Dice Roll Probability – Explained with Examples

In this article, we will see how to calculate probabilities associated with throwing six-sided unbiased dice. Since we are assuming that the dice are unbiased all six outcomes on a die are equally likely....

### Coefficient of Variation

The coefficient of variation is a measure of dispersion that tells us about the “spread” of our data. It tells us whether there is a high variation with the given data values or not....

### Inferential Statistics

There are two main braches of statistics- Descriptive Statistics and Inferential Statistics. As the name suggests descriptive statistics is all about describing the data – by calculating quantities like mean, median, mode quartile, standard...

### Cronbachs Alpha

Cronbach’s alpha is a numerical quantity that represents how well the different variables in a particular data set are inter-related amongst themselves. It is used as a measure of the reliability of the data. The...

### Central Limit Theorem

The central pillar theorem is one of the pillars of modern statistics. The central theorem gives us information about the sampling distribution of the sample mean. It states than as the sample size drawn...

### Uniform Distribution

The uniform distribution refers to a probability distribution in which all events have equal chances of occurring. The continuous uniform distribution consists of two parameters – ‘a’ which denotes the minimum value the random...

### ANOVA (Analysis of Variance)

The ANOVA (Analysis of Variance) technique is a powerful statistical test that we use to test for equality of means for three or more samples. For example, suppose we want to measure the effect...