Testing Hypothesis

1. This hypothesis states that there is no difference between population parameters and the hypothesized value.

• hypothesis

• null hypothesis

• alternative hypothesis

• two-tailed hypothesis

2. When the value of parameter has significant difference with the hypothesized value, then it is called _____________.

• one-tailed

• two-tailed

• null hypothesis

• alternative hypothesis

3. The sign of the alternative hypothesis in a left-tailed test is always_________.

• equal

• less than

• not equal

• greater than

4. If the researcher wishes to test the claim that the mean of the population is 75, the appropriate null hypothesis is

• μ ≤ 75

• μ ≥ 75

• μ ≠ 75

• μ = 75

5. What kind of hypothesis is illustrated below? The mean score of all Grade 11 students is higher than 75.

• one-tailed

• two-tailed

• null hypothesis

• alternative hypothesis

6. “A modern approach in advertisement will not increase the demand for a product.” This is an example of__ hypothesis.

• Null

• Mean

• Alternative

• Right-Tailed

7. If the variance is unknown and the sample size is small, which test statistic is appropriate?

• t-test

• z-test

• two-tailed

• one-tailed

8. When is a Type II error committed?

• We reject a null hypothesis that is true.

• We reject a null hypothesis that is false.

• We fail to reject a null hypothesis that is true.

• We fail to reject a null hypothesis that is false.

9. In a sample n=100 selected from a normal population 𝑥̅= 56 and 𝑠 = 12, what statistical test is applicable?

• t-test

• z-test

• left-tailed

• two-tailed

10. Which of the following notations is needed in identifying the test statistic to be used in computing the test value?

• μ

• x

• δ

• α