Hypothesis Testing

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.

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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.

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How do you denote the null hypothesis?

Back

The null hypothesis is denoted as H0.

Front

How do you denote the alternative hypothesis?

Back

The alternative hypothesis is denoted as Ha.

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.

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What is a two-tailed test?

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

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What is a Type I error?

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

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What is a Type II error?

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

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What is the significance level (alpha)?

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