Module 12 Practice Questions (2)

Front

What is the Chi-Square test statistic?

Back

The Chi-Square test statistic is a measure used to determine whether there is a significant difference between the expected and observed frequencies in categorical data.

Front

How is the Chi-Square test statistic calculated?

Back

The Chi-Square test statistic is calculated using the formula: χ² = Σ((O - E)² / E), where O is the observed frequency and E is the expected frequency.

Front

Given an observed count of 60 and an expected count of 50, what is the contribution to the Chi-Square test statistic?

Back

2.00

Front

What does a P-value indicate in hypothesis testing?

Back

A P-value indicates the probability of obtaining the observed results (or more extreme) if the null hypothesis is true.

Front

What is the significance level in hypothesis testing?

Back

The significance level (often denoted as alpha, α) is the threshold at which you decide whether to reject the null hypothesis, commonly set at 0.05.

Front

What conclusion can be drawn if the P-value is less than the significance level?

Back

If the P-value is less than the significance level, you reject the null hypothesis, indicating that there is sufficient evidence to support the alternative hypothesis.

Front

What is a null hypothesis?

Back

A null hypothesis is a statement that there is no effect or no relationship between variables, and it serves as the default assumption in hypothesis testing.

Front

In the context of gender and ear piercing, what is the null hypothesis?

Back

The null hypothesis is that there is no relationship between gender and ear piercing.

Front

What does it mean if the data does not provide enough evidence to conclude that two variables are related?

Back

It means that the statistical analysis did not show a significant association between the two variables, suggesting they may be independent.

Front

What is the alternative hypothesis?

Back

The alternative hypothesis is a statement that indicates the presence of an effect or a relationship between variables, opposing the null hypothesis.