Module 11 Practice Questions (3)

Front

What is ANOVA?

Back

ANOVA (Analysis of Variance) is a statistical method used to test differences between two or more group means. It helps determine if at least one group mean is significantly different from the others.

Front

What does it mean to reject the null hypothesis (H0)?

Back

Rejecting the null hypothesis (H0) indicates that there is sufficient evidence to support the alternative hypothesis, suggesting a significant effect or relationship exists in the data.

Front

What is a paired t-test?

Back

A paired t-test is a statistical method used to compare two related groups, such as measurements taken from the same subjects before and after a treatment.

Front

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

Back

The significance level (alpha) is the threshold for determining whether to reject the null hypothesis, commonly set at 0.05, indicating a 5% risk of concluding that a difference exists when there is none.

Front

What does a p-value represent in hypothesis testing?

Back

A p-value indicates the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true. A low p-value suggests strong evidence against the null hypothesis.

Front

What is the F-value in ANOVA?

Back

The F-value in ANOVA is a ratio of the variance between the group means to the variance within the groups. A higher F-value indicates a greater likelihood that at least one group mean is different.

Front

What does it mean if the p-value is less than the significance level?

Back

If the p-value is less than the significance level, it suggests that the observed data is statistically significant, leading to the rejection of the null hypothesis.

Front

What is a matched pairs hypothesis test?

Back

A matched pairs hypothesis test compares two related samples, where each pair consists of one observation from each group, allowing for the assessment of differences within pairs.

Front

What is the interpretation of a 95% confidence interval?

Back

A 95% confidence interval means that if the same population is sampled multiple times, approximately 95% of the calculated intervals would contain the true population parameter.

Front

What is the null hypothesis (H0)?

Back

The null hypothesis (H0) is a statement that there is no effect or no difference, serving as the default assumption in hypothesis testing.