Admin

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

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 that as the sample size drawn...

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...

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...

All physical quantities that are measured have some uncertainty (error) associated with them. Error propagation (or Propagation of Uncertainty) refers to the fact that whenever you use measurements (with some error) to calculate new...

The Dixons Q test is a test that we use to identify the outliers in our data. This test is applied when the sample size is small. The data set is generally considered to...

The interquartile range is a measure of dispersion that tells us about the “spread” of our data. It tells us the range within which 50% of our data lies. It is calculated by subtracting...

The T score and Z score are both standardized test scores that we use when we test for equality of means for one or two samples. The difference between the t score and z score...