Module 11 Practice Questions

Front

What does a p-value indicate in hypothesis testing?

Back

A p-value indicates the probability of obtaining results as extreme as those observed, assuming that the null hypothesis is true. A low p-value suggests that the observed data is unlikely under the null hypothesis.

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 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 conditions must be met to use a two-sample t-Test?

Back

The two-sample t-Test requires that the samples are independent, the data is normally distributed, and the variances of the two groups are equal (or approximately equal).

Front

What does it mean for samples to be independent?

Back

Independent samples mean that the selection of one sample does not influence the selection of the other sample.

Front

What is a matched pairs situation in hypothesis testing?

Back

A matched pairs situation occurs when the samples are related or paired in some way, such as before-and-after measurements on the same subjects.

Front

What is the significance of a t-statistic?

Back

The t-statistic measures the size of the difference relative to the variation in the sample data. A larger t-statistic indicates a greater difference between groups.

Front

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, indicating a significant effect or difference.

Front

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

Back

A one-tailed test assesses the direction of the effect (greater than or less than), while a two-tailed test assesses whether there is any difference (either greater or less).