Hypothesis testing applies to all forms of statistical inquiry. For example, it can be used to determine whether there are differences between population parameters or to gain an understanding of ...

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

Once you have decided on the test you would like to use, you need to check the assumptions. These are conditions which your data will need to meet if the hypothesis test is going to work. Tests which ...

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 ...

Evaluates the overall effectiveness of complex arguments. Standard 21.4: Understands and applies basic principles of hypothesis testing and scientific inquiry Presents alternative explanations and ...

Confidence intervals and hypothesis tests are directly linked. Confidence intervals can be used to check the reasonableness of claims about the parameter. If someone claims the parameter is equal to ...

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 ...

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 ...