QM2 Lecture 2

In hypothesis testing, a Type I error occurs when

• The null hypothesis is rejected when it is true.

• The null hypothesis is not rejected when it is true.

• The alternative hypothesis is rejected when it is true.

• The alternative hypothesis is not rejected when it is true.

Which of the following is a correct statement about the H1?

• H1 is used to support the null hypothesis.

• H1 is the default hypothesis in hypothesis testing.

• H1 represents the researcher's claim or research question.

• H1 is always the same as the null hypothesis.

Type II errors occur when the null hypothesis is incorrectly rejected when it is actually true.

• True

• False

Confounding variables are variables that are introduced into an experiment to increase its complexity.

• True

• False

In hypothesis testing, a smaller p-value indicates stronger evidence against the null hypothesis.

• True

• False

H1 is typically formulated after the statistical analysis.

• True

• False