Null and Alternative Hypothesis Practice

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 starting point for statistical testing.

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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

In hypothesis testing, what does the symbol '=' represent?

Back

The symbol '=' in hypothesis testing represents the null hypothesis, indicating that a parameter is equal to a specific value.

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What does the symbol '>' indicate in hypothesis testing?

Back

The symbol '>' indicates that the alternative hypothesis suggests that a parameter is greater than a specific value.

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What does the symbol '<' indicate in hypothesis testing?

Back

The symbol '<' indicates that the alternative hypothesis suggests that a parameter is less than a specific value.

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What is the purpose of hypothesis testing?

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The purpose of hypothesis testing is to determine whether there is enough statistical evidence to reject the null hypothesis in favor of the alternative hypothesis.

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What is a one-tailed test?

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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 certain value, without specifying a direction.

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

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

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What does it mean to fail to reject the null hypothesis?

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Failing to reject the null hypothesis means that there is not enough evidence to support the alternative hypothesis.