A type I error is a type of false negative error, that is the probability of accepting the null hypothesis is true when it is not.

A small left-sided p-value supports the alternative hypothesis that the probability of an observation being in the first cell is less than expected under the null hypothesis of independent row and ...

The probability that the null hypothesis will be rejected when it is actually true is called the false positive rate and is determined by the significance level of the test (called alpha which is ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis. You opt for a critical value probability ...

The alternative is that the ratio is between the bounds; thus, the two means are considered to be equivalent. The power of a test is the probability of rejecting the null hypothesis when the ...

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 ...