Question

8. In the population, there is no difference between men and
women on a certain test.

However, the mean for men was higher than the mean for women in
your sample, and with a t of 4.532 and a p-value of .004, you have
determined it is appropriate to reject the null hypothesis and
conclude a difference does exist.

What type of error did you make?

- A. Type I
- B. Type II
- C. You confirmed the null hypothesis.
- D. Standard error

9. Which of these is an example of a test statistic (i.e. not a parameter)?

- A. The population mean
- B. The sample mean
- C. The null and alternate hypotheses
- D. Type II

10. What effect will choosing a higher alpha (greater that the standard .05) have on your error rate?

- A. More difficulty in finding genuine effects.
- B. A decrease in the probability of type I error.
- C. A decrease in the probability of type I error and an increase in the probability of type II.
- D. An increase in the probability of the type I error.

Answer #1

8. The probability of rejecting the null hypothesis when it is true is called type-I error.

Here in the problem in the population there is no difference
between men and women in a certain test. But in the the conclusion
of the test we reject the null hypothesis so I made
**type**-I **error (A)** in the following
testing.

9. Statistic is actually a function of sample values.

Here sample mean is the function of sample values so
**sample mean is a statistic (B).**

10. Level of significance is denoted as alpha is actually upper limit of type-I error. So if we increase the value of alpha actually we allow more type-I error in the testing procedure.

So, **an increase in the probability of the type-I error
(D)**

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

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(a)
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