Standard deviation is a measure of how far the data is spread from the mean, and can be used to assess the accuracy of the sample mean.

Type I errors are improper rejections of the null hypothesis.

Type II errors are failures to reject the null hypothesis hen it should be rejected.

Level of Significance measures the likelihood of committing a Type I error.

Power analysis measures the risk of committing a Type II error.

Regression analysis measures the relationship between two groups, and can be used to compare separate groups or the same group after an intervention. There are several ways to perform regression analysis.

Analysis of variance (ANOVA) measures the variance observed in groups of data and works to attribute observed variances to specific observed variables. There are different tests used to perform analysis depending on the type of data available and the desired information output.

Chi squared...
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