8.1 practice: Ho/H1 practice

Front

What is a null hypothesis (H0)?

Back

The null hypothesis (H0) is a statement that there is no effect or no difference, and it serves as a starting point for statistical testing.

Front

What is an 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 does it mean if H0: μ = 89 and H1: μ ≠ 89?

Back

This means that the average weight of the group is hypothesized to be 89 lbs (H0), while the alternative suggests it could be different from 89 lbs (H1).

Front

Can the null and alternative hypotheses be the same?

Back

No, the null and alternative hypotheses cannot be the same; they must represent opposing statements.

Front

What is the significance of a level of significance in hypothesis testing?

Back

The level of significance (often denoted as alpha, α) is the threshold for determining whether to reject the null hypothesis, commonly set at 0.05 or 0.01.

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 in either direction.

Front

What does H0: p = 0.50 represent in hypothesis testing?

Back

This represents the null hypothesis stating that the proportion of a certain characteristic in the population is 50%.

Front

What is the purpose of hypothesis testing?

Back

The purpose of hypothesis testing is to make inferences about population parameters based on sample data.

Front

What does it mean if we reject the null hypothesis?

Back

Rejecting the null hypothesis suggests that there is sufficient evidence to support the alternative hypothesis.