Null and Alternative Hypotheses

Front

What is the null hypothesis (H0)?

Back

The null hypothesis (H0) is a statement that there is no effect or no difference, and it serves as a default or starting assumption in hypothesis testing.

Front

What is the alternative hypothesis (H1)?

Back

The alternative hypothesis (H1) is a statement that indicates the presence of an effect or a difference, opposing the null hypothesis.

Front

What symbol is used to denote the null hypothesis?

Back

H0

Front

What symbol is used to denote the alternative hypothesis?

Back

H1

Front

What does it mean if the null hypothesis is rejected?

Back

If the null hypothesis is rejected, it suggests that there is sufficient evidence to support the alternative hypothesis.

Front

What is a one-tailed test?

Back

A one-tailed test is a hypothesis test that evaluates the direction of the effect, either greater than or less than a certain value.

Front

What is a two-tailed test?

Back

A two-tailed test is a hypothesis test that evaluates whether a parameter is significantly different from a specified value, without specifying a direction.

Front

In hypothesis testing, what is a Type I error?

Back

A Type I error occurs when the null hypothesis is incorrectly rejected when it is actually true.

Front

In hypothesis testing, what is a Type II error?

Back

A Type II error occurs when the null hypothesis is not rejected when it is actually false.

Front

What is the significance level (alpha) in hypothesis testing?

Back

The significance level (alpha) is the probability of making a Type I error, commonly set at 0.05 or 0.01.