Hypothesis Testing WS # 1

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 the default assumption in hypothesis testing.

Front

What is the alternative hypothesis (Hₐ)?

Back

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

Front

In hypothesis testing, what does 'p' represent?

Back

In hypothesis testing, 'p' represents the true proportion of the population that is being studied.

Front

What is the significance of stating H₀: p = 0.5?

Back

This indicates that the researcher believes the true proportion of the population is equal to 0.5, which is a common benchmark for comparison.

Front

What does H₀: p < 0.5 imply?

Back

This implies that the researcher is testing whether the true proportion of the population is less than 0.5.

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What does H₀: p > 0.7 indicate in a business context?

Back

This indicates that the researcher is testing whether more than 70% of businesses monitor employee web site visits.

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What is the purpose of hypothesis testing?

Back

The purpose of hypothesis testing is to determine whether there is enough statistical evidence in a sample to infer that a certain condition holds for the entire population.

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What is a Type I error in hypothesis testing?

Back

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

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What is a Type II error in hypothesis testing?

Back

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

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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.