Module 11 Practice Questions

Front

What is the null hypothesis (H₀) in hypothesis testing?

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.

Front

What is the alternative hypothesis (Ha) in hypothesis testing?

Back

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

Front

What does a p-value represent in hypothesis testing?

Back

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

Front

What is a two-sample t-Test?

Back

A two-sample t-Test is a statistical method used to determine if there is a significant difference between the means of two independent groups.

Front

What does it mean for samples to be independent?

Back

Independent samples are those where the selection of one sample does not influence the selection of the other sample.

Front

What is the significance of a t-statistic in hypothesis testing?

Back

A t-statistic measures the size of the difference relative to the variation in the sample data, helping to determine if the difference is statistically significant.

Front

What is the purpose of the National Health and Nutrition Examination Survey (NHANES)?

Back

NHANES is a program designed to assess the health and nutritional status of adults and children in the United States through interviews and physical examinations.

Front

What does it mean if a p-value is less than 0.05?

Back

A p-value less than 0.05 typically indicates strong evidence against the null hypothesis, suggesting that the null hypothesis can be rejected.

Front

What are matched pairs in statistical testing?

Back

Matched pairs refer to a study design where subjects are paired based on certain characteristics, allowing for direct comparison of two related samples.

Front

What is the difference between one-tailed and two-tailed tests?

Back

One-tailed tests assess the direction of an effect (greater than or less than), while two-tailed tests assess for any difference (not equal to).