MSC -QUIZ 3

1) What is the level of significance?

• • A) The probability of making a Type I error

• • B) The probability of making a Type II error

• • C) The power of the test

• • D) The mean of the population

2) Which of the following best describes a Type I error?

• A) Correctly failing to reject the null hypothesis

• B) Failing to reject the null hypothesis when it is false

• • C) Correctly rejecting the null hypothesis

• • D) Rejecting the null hypothesis when it is true

3) What is a critical region in hypothesis testing?

• • A) The area where the null hypothesis is accepted

• • B) The area where the null hypothesis is rejected

• • C) The area where Type I errors occur

• D) The area where Type II errors occur

4) What does the power of a test indicate?

• • A) The probability of making a Type I error

• • B) The probability of making a Type II error

• • C) The probability of correctly rejecting the null hypothesis

• • D) The level of significance

5) Which of the following is true about parametric tests?

• • A) They do not assume a specific distribution

• • B) They assume the data follows a normal distribution

• • C) They can only be used for small sample sizes

• D) They are always more powerful than non-parametric tests

6) What is the degree of freedom in statistical tests?

• • A) The number of independent values that can vary in an analysis

• • B) The total number of observations

• • C) The maximum number of hypotheses tested

• D) The level of significance

7) What does a p-value represent?

• A) The probability of making a Type I error

• • B) The level of significance

• • C) The probability of observing the test statistic given that the null hypothesis is true

• • D) The confidence level

8) A test statistic is used to:

• • A) Measure the variability in the data

• • B) Make a decision about the null hypothesis

• • C) Calculate the p-value

• • D) Construct a confidence interval

9) In hypothesis testing, if the p-value is less than the significance level (α), you:

• • A) Fail to reject the null hypothesis

• • B) Cannot make a decision

• • C) Accept the null hypothesis

• • D) Reject the null hypothesis

10) Which error is committed when failing to reject a false null hypothesis?

• • A) Type I error

• • B) Type II error

• • C) Power error

• D) Sampling error