Key Points Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing ...

A null hypothesis is the first form of hypothesis testing conducted. They rely on rejecting the null hypothesis to prove the hypothesis. They readily allow you to determine if your data falls ...

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 ...

It tests the null hypothesis that the distribution of the response variable does not differ among classes. It is designed to detect alternatives of ordered class differences, which can be expressed as ...

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 ...

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 ...

In a test of equivalence, a treatment mean and a reference mean are compared to each other. Equivalence is taken to be the alternative hypothesis, and the null hypothesis is nonequivalence. The model ...

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 ...