A hypothesis test is where we examine the data and decide which of the two alternative hypotheses is more believable given the evidence we have. We begin by assuming the null hypothesis is true. Does ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

A t-statistic is performed during a t-test. The resulting statistic is used to determine whether to accept or reject a null hypothesis. The core use of this statistic is for direct comparison ...

The null hypothesis is proposed by a scientist before ... Pearson's chi-square test works well with genetic data as long as there are enough expected values in each group. In the case of small ...

Statistical analysis is a vital component of improving workflows in a given project. To make the most of your data analysis, ...

The one-sided alternatives are that the difference is greater than, or less than, the difference specified in the null hypothesis. To specify a box-and-whisker plot and a means plot in addition to the ...

In general, for a fixed significance threshold and fixed null hypothesis, performing multiple testing correction by means of FDR estimation will always yield at least as many significant scores as ...