Statistics Made Simple 📈

When you perform a statistical test, a p-value helps you determine the significance of your results in relation to the null hypothesis.

In statistics, a sampling distribution shows how a sample statistic, like the mean, varies across many random samples from a population. It helps make predictions about the whole population.

The confidence interval (CI) is a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed as a % whereby a population mean lies between an upper and lower interval.

The Chi-square test (pronounced Kai) looks at the pattern of observations and will tell us if certain combinations of the categories occur more frequently than we would expect by chance, given the total number of times each category occurred.

Box plots visually show the distribution of numerical data and skewness by displaying the data quartiles (or percentiles) and averages.