Unit 10 Take Home Test MC

Front

What is a confidence interval?

Back

A confidence interval is a range of values, derived from sample statistics, that is likely to contain the true population parameter with a specified level of confidence.

Front

What does a 95% confidence interval indicate?

Back

A 95% confidence interval indicates that if we were to take many samples and build a confidence interval from each sample, approximately 95% of those intervals would contain the true population parameter.

Front

How does sample size affect the width of a confidence interval?

Back

Increasing the sample size generally results in a narrower confidence interval, as it provides more information about the population.

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

What is a p-value?

Back

A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true.

Front

What does it mean if a p-value is less than the significance level (α)?

Back

If a p-value is less than the significance level (α), we reject the null hypothesis, suggesting that there is sufficient evidence to support the alternative hypothesis.

Front

What is the significance level (α)?

Back

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

Front

What is the relationship between confidence level and significance level?

Back

The confidence level is equal to 1 - α. For example, a 95% confidence level corresponds to a significance level of 0.05.

Front

What is the meaning of 'statistical significance'?

Back

Statistical significance indicates that the observed effect or difference is unlikely to have occurred by random chance alone, based on the p-value.