Question
1. What type of error occurs if you fail to reject (aka accept) H 0 when, in fact, it is not true? a. type I
1. What type of error occurs if you fail to reject (aka "accept") H0 when, in fact, it is not true?
a. type I
b. type II
c.either Type I or Type II, depending on the level of significance
d. either Type I or Type II, depending on whether the test is one-tailed or two-tailed
2. For a given sample size in hypothesis testing,
a.the smaller the Type I error, the larger the Type II error will be.
b.Type II error will not be effected by Type I error.
c.the smaller the Type I error, the smaller the Type II error will be.
d.the sum of Type I and Type II errors must equal to 1.
3. A sample of 64 account balances from a credit company showed an average daily balance of $1040.
The standard deviation of the population is known to be $200. We are interested in determining if the mean of all account balances (i.e., population mean) is significantly different from $1000.
Compute the test statistic.
(note: enter answer as a number with two decimal places - such as 2.77 or 0.95"
4. A sample of 64 account balances from a credit company showed an average daily balance of $1040.
The standard deviation of the population is known to be $200. We are interested in determining if the mean of all account balances (i.e., population mean) is significantly different from $1000.
Which of the following is true?
a. The Null Hypothesis can be rejected at the 2.5% significance level
b. The Null Hypothesis can be rejected at the 10% significance level
c.The Null Hypothesis cannot be rejected at the 5% significance level
d.he Null Hypothesis cannot be rejected at the 20% significance level
5. What type of error occurs if you fail to reject H0 when, in fact, it is not true?
a. Type II
b. type I
c.either Type I or Type II, depending on the level of significance
d. either Type I or Type II, depending on whether the test is one tail or two tail
6. An assumption made about the value of a population parameter is called a
a. hypothesis
b.conclusion
c.confidence
d. signifance
7. A Type II error is committed when
a.true alternative hypothesis is mistakenly rejected
b. a true null hypothesis is rejected
c.the sample size has been too small
d.not enough information has been available
8. If a hypothesis is rejected at 95% confidence, it
a.will always be accepted at 90% confidence
b. will always be rejected 99% confidience
c.will sometimes be rejected at 90% confidence
d. None of these alternatives is correct.
9. Read the Z statistic from the normal distribution table and circle the correct answer. A one-tailed test (upper tail) at 87.7% confidence; Z =?
a.1.54
b. 1.96
c.1.645
d.1.16
10. For a two-tailed test, a sample of 20 at 80% confidence, t =
a. 1.328
b.2.539
c.1.325
d.2.528
11. In hypotheses testing,
a. the sum of Type I and Type II errors must add up to 1
b. Type II is always twice as large as Type I error
c. the probability of Type I error is
d. type II error is B
12. The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are?
a. H0: < 21.80 Ha: 21.80
b.H0: = 21.80 Ha: 21.80
c. H0: > 21.80 Ha: 21.80
d. H0: 21.80 Ha: > 21.80
13. n = 36= 24.6S = 12H0:20Ha:> 20- The test statistic is?
a. 2.3
b. 0.38
c.-2.3
d. -0.38
14.
n = 36 | = 24.6 | S = 12 | H0:20 |
Ha:> 20 |
The p-value is between? this is number 14!
a. 0.005 to 0.01
b.0.01 to 0.025
c.0.025 to 0.05
d. 0.05 to 0.10
15.
n = 36 | = 24.6 | S = 12 | H0:20 |
Ha:> 20 |
This is number 15!^ If the test is done at 95% confidence, the null hypothesis should
a. not be rejected
b. be rejected
c. not enough information
d. none of these
16. A random sample of 100 people was taken. Eighty-five of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%. The test statistic is?
a.0.80
b.0.05
c.1.25
d.2.00
17. A random sample of 100 people was taken. Eighty-five of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%. The p-value is?
a. 0.2112
b. 0.05
c.0.025
d.0.1056
18. The sales of a grocery store had an average of $8,000 per day. The store introduced several advertising campaigns in order to increase sales. To determine whether or not the advertising campaigns have been effective in increasing sales, a sample of 64 days of sales was selected. It was found that the average was $8,300 per day. From past information, it is known that the standard deviation of the population is $1,200. The correct null hypothesis for this problem is?
a. < 8000
b. u> 8000
c.u=8000
d. u>8250
19. The sales of a grocery store had an average of $8,000 per day. The store introduced several advertising campaigns in order to increase sales. To determine whether or not the advertising campaigns have been effective in increasing sales, a sample of 64 days of sales was selected. It was found that the average was $8,300 per day. From past information, it is known that the standard deviation of the population is $1,200.The value of the test statistic is?
a.250
b.8000
c.8250
d.2.0
20. The sales of a grocery store had an average of $8,000 per day. The store introduced several advertising campaigns in order to increase sales. To determine whether or not the advertising campaigns have been effective in increasing sales, a sample of 64 days of sales was selected. It was found that the average was $8,300 per day. From past information, it is known that the standard deviation of the population is $1,200. the p value is?
a.2.00
b.0.9772
c.0.0228
d. 0.5475
I DONT NEED ANY EXPLANATIONS!
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