Null and Alternative Hypothesis 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 the default or starting assumption in hypothesis testing.

Front

What is an alternative hypothesis (Hₐ)?

Back

The alternative hypothesis (Hₐ) is a statement that indicates the presence of an effect or a difference, and it is what the researcher aims to support.

Front

How do you denote the null hypothesis?

Back

The null hypothesis is denoted by H₀.

Front

How do you denote the alternative hypothesis?

Back

The alternative hypothesis is denoted by H₁.

Front

What does it mean if H₀ is rejected?

Back

If H₀ is rejected, it suggests that there is sufficient evidence to support the alternative hypothesis (Hₐ).

Front

What does it mean if H₀ is not rejected?

Back

If H₀ is not rejected, it indicates that there is not enough evidence to support the alternative hypothesis (Hₐ).

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 there is a difference in either direction (greater than or less than a certain value).

Front

What is the significance level (α)?

Back

The significance level (α) is the probability of rejecting the null hypothesis when it is actually true, commonly set at 0.05.

Front

What is a Type I error?

Back

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