b was observed for 13 days. the number of the particular

4/23/2019 Print Test

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B was observed for 13 days. The number of the particular items sold per day was recorded for each location.On average, location A sold 39 of these items with a sample standard deviation of 9 and location B sold 51of these items with a sample standard deviation of 6. Select a 95% confidence interval for the difference inthe true means of items sold at location A and B.

a) [-19.16, -4.84]

b) [44.34, 57.66]

c) [83.34, 96.66]

d) [-15.18, -8.815]

e) [32.34, 45.66]

f) None of the above

Question 8

An auditor for a hardware store chain wished to compare the efficiency of two different auditing techniques.To do this he selected a sample of nine store accounts and applied auditing techniques A and B to each of thenine accounts selected. The number of errors found in each of techniques A and B is listed in the tablebelow:

Errors in A Errors in B27 1330 1928 2130 1934 3632 2731 3122 2327 32

Select a 99% confidence interval for the true mean difference in the two techniques.

a) [-7.557, 7.557]

b) [-3.113, 12.001]

c) [1.084, 7.804]

d) [1.925, 6.963]

e) [2.195, 6.693]




Question 9

A shoemaker claims his best product has an average lifespan of exactly 14 years. A skeptical customer asksfor evidence (data) that might be used to evaluate this claim. The customer was provided data collected froma random sample of 40 people who used the product. Using the data, an average product lifespan of 21 yearsand a standard deviation of 4 years was calculated. Select the 99%, confidence interval for the true meanlifespan of this product.

a) [19.368, 22.632]

b) [-1.6317, 1.6317]

c) [20.742, 21.258]

d) [19.103, 22.897]

e) [12.368, 15.632]


Question 10

An important problem in industry is shipment damage. A pottery producing company ships its product bytruck and determines that it cannot meet its profit expectations if, on average, the number of damaged itemsper truckload is greater than 11. A random sample of 15 departing truckloads is selected at the delivery pointand the average number of damaged items per truckload is calculated to be 11.3 with a calculated sample ofvariance of 0.64. Select a 90% confidence interval for the true mean of damaged items.

a) [10.68, 11.92]

b) [10.64, 11.36]

c) [53.67, -33.86]

d) [-0.3635, 0.3635]

e) [10.94, 11.66]




PRINTABLE VERSIONQuiz 12

Question 1

In a hypothesis test, if the computed P-value is less than 0.001, there is very strong evidence to

a) retest with a different sample.

b) fail to reject the null hypothesis.

c) reject the null hypothesis.

Question 2

A one-sided significance test gives a P-value of .04. From this we can

a) Say that the probability that the null hypothesis is false is .04.

b) Reject the null hypothesis with 96% confidence.

c) Reject the null hypothesis with 95% confidence.

d) Say that the probability that the null hypothesis is true is .04.

Question 3

It is believed that the average amount of money spent per U.S. household per week on food is about $98,with standard deviation $10. A random sample of 100 households in a certain affluent community yields amean weekly food budget of $100. We want to test the hypothesis that the mean weekly food budget for allhouseholds in this community is higher than the national average. State the null and alternative hypothesesfor this test.

a) Ho: μ = 98, Ha: μ ≠ 98

b) Ho: μ = 100, Ha: μ < 100

c) Ho: μ = 98, Ha: μ > 98

d) Ho: μ = 98, Ha: μ < 98

e) Ho: μ = 100, Ha: μ > 100

Question 4

It is believed that the average amount of money spent per U.S. household per week on food is about $98,with standard deviation $10. A random sample of 100 households in a certain affluent community yields a



mean weekly food budget of $100. We want to test the hypothesis that the mean weekly food budget for allhouseholds in this community is higher than the national average. Are the results significant at the 5% level?

a) Yes, we should reject Ho.

b) No, we should fail to reject Ho.

Question 5

Based on information from a large insurance company, 68% of all damage liability claims are made by singlepeople under the age of 25. A random sample of 53 claims showed that 41 were made by single people underthe age of 25. Does this indicate that the insurance claims of single people under the age of 25 is higher thanthe national percent reported by the large insurance company? State the null and alternate hypothesis.

a) Ho: p = .68, Ha: p < .68

b) Ho: p = .77, Ha: p > .77

c) Ho: p = .68, Ha: p > .68

d) Ho: p = .77, Ha: p < .77

e) Ho: p = .68, Ha: p ≠ .68

Question 6

Based on information from a large insurance company, 66% of all damage liability claims are made by singlepeople under the age of 25. A random sample of 53 claims showed that 43 were made by single people underthe age of 25. Does this indicate that the insurance claims of single people under the age of 25 is higher thanthe national percent reported by the large insurance company? Give the test statistic and your conclusion.

a) z = -2.326; reject Ho at the 5% significance level

b) z = 1.826; reject Ho at the 5% significance level

c) z = 2.326; reject Ho at the 5% significance level

d) z = 2.326; fail to reject Ho at the 5% significance level

e) z = -1.826; fail to reject Ho at the 5% significance level

Question 7

Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution forHC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like toknow if the data indicates this patient has significantly high HC compared to the population.

State the null and alternate hypothesis.



a) Ho: μ = 14, Ha: μ ≠ 14

b) Ho: μ = 18.3, Ha: μ < 18.3

c) Ho: μ = 14, Ha: μ > 14

d) Ho: μ = 14, Ha: μ < 14

e) Ho: μ = 18.3, Ha: μ > 18.3

Question 8

Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution forHC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like toknow if the data indicates this patient has significantly high HC compared to the population.

Give the p-value and interpret the results.

a) p = .0762; Based on 5% significance level, I will fail to reject the null hypothesis and conclude thispatient does not have a high HC level.

b) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and conclude thispatient does not have a high HC level.

c) p = .0001; Based on 5% significance level, I will reject the null hypothesis and conclude this patienthas a high HC level.

d) p = .001; Based on 5% significance level, I will reject the null hypothesis and conclude this patient hasa high HC level.

e) p = .0562; Based on 5% significance level, I will fail to reject the null hypothesis and conclude thispatient does not have a high HC level.

Question 9

An experimenter flips a coin 100 times and gets 44 heads. Test the claim that the coin is fair against the two-sided claim that it is not fair at the level α=.01.

a) Ho: p = .5, Ha: p < .5; z = -1.20; Reject Ho at the 1% significance level.

b) Ho: p = .5, Ha: p ≠ .5; z = -1.20; Fail to reject Ho at the 1% significance level.

c) Ho: p = .5, Ha: p < .5; z = -1.21; Fail to reject Ho at the 1% significance level.

d) Ho: p = .5, Ha: p ≠ .5; z = -1.21; Fail to reject Ho at the 1% significance level.

e) Ho: p = .5, Ha: p ≠ .5; z = -1.20; Reject Ho at the 1% significance level.



Question 10

In a experiment on relaxation techniques, subject's brain signals were measured before and after therelaxation exercises with the following results:

Person 1 2 3 4 5Before 31 38 66 51 32 After 26 35 57 51 26

Assuming the population is normally distributed, is there sufficient evidence to suggest that the relaxationexercise slowed the brain waves? (Use α=0.05)

a) There is not enough information to make a conclusion.

b) Fail to reject the null hypothesis which states there is no change in brain waves.

c) Reject the null hypothesis which states there is no change in brain waves in favor of the alternatewhich states the brain waves slowed after relaxation.

Question 11



Does the data provide sufficient evidence to conclude that the number of errors in auditing technique A isdifferent from the number of errors in auditing technique B at the 0.05 level of significance? Select the[Alternative Hypothesis, Value of the Test Statistic]. (Hint: the samples are dependent)

a) [μD ≠ 0, 1.976]

b) [μD ≠ μ1, 1.976]

c) [μD = 0, 1.976]

d) [μD ≥ 0, 1.976]



e) [A ≠ B, 1.976]


Question 12



Does the data provide sufficient evidence to conclude that the number of errors in auditing technique A isdifferent from the number of errors in auditing technique B at the 0.05 level of significance? Select the[Rejection Region, Decision of Reject (RH0) or Failure to Reject (FRH0)]. (Hint: the samples are dependent)

a) [-t < -2.31 or t < -2.31, FRH0]

b) [t < -2.31, FRH0]

c) [z < -2.31 and -z < -2.31, FRH0]

d) [t > 2.31, RH0]

e) [-t < 2.31 and t < 2.31, RH0]


Question 13

Rejecting a true null hypothesis is classified as

a) Type II error

b) Power

c) Type I error



PRINTABLE VERSIONQuiz 13

Question 1

In a hypothesis test, if the computed P-value is greater than a specified level of significance, then we

a) reject the null hypothesis.

b) fail to reject the null hypothesis.

c) retest with a different sample.

Question 2

In a experiment on relaxation techniques, subject's brain signals were measured before and after therelaxation exercises with the following results:

Person 1 2 3 4 5Before 32 38 66 52 28 After 26 36 57 48 23

Assuming the population is normally distributed, is there sufficient evidence to suggest that the relaxationexercise slowed the brain waves? (Use α=0.05)

a) Reject the null hypothesis which states there is no change in brain waves in favor of the alternatewhich states the brain waves slowed after relaxation.

b) There is not enough information to make a conclusion.

c) Fail to reject the null hypothesis which states there is no change in brain waves.

Question 3

An experimenter flips a coin 100 times and gets 57 heads. Test the claim that the coin is fair against the two-sided claim that it is not fair at the level α=.01.

a) Ho: p = .5, Ha: p ≠ .5; z = 1.40; Reject Ho at the 1% significance level.

b) Ho: p = .5, Ha: p > .5; z = 1.41; Fail to reject Ho at the 1% significance level.

c) Ho: p = .5, Ha: p ≠ .5; z = 1.41; Fail to reject Ho at the 1% significance level.

d) Ho: p = .5, Ha: p ≠ .5; z = 1.40; Fail to reject Ho at the 1% significance level.

e) Ho: p = .5, Ha: p > .5; z = 1.40; Reject Ho at the 1% significance level.

Question 4



Identify the most appropriate test to use for the following situation: A national computer retailer believes that the average sales are greater for salespersons with a college

degree. A random sample of 14 salespersons with a degree had an average weekly sale of $3542 last year,while 17 salespersons without a college degree averaged $3301 in weekly sales. The standard deviationswere $468 and $642 respectively. Is there evidence to support the retailer's belief?

a) One sample t test

b) Matched pairs

c) Two sample t test

d) Two sample z test

Question 5

To use the two sample t procedure to perform a significance test on the difference of two means, we assume:

a) The sample sizes are large.

b) The distributions are exactly normal in each population.

c) The samples from each population are independent.

d) The populations' standard deviation are known.

Question 6

Solid fats are more likely to raise blood cholesterol levels than liquid fats. Suppose a nutritionist analyzedthe percentage of saturated fat for a sample of 6 brands of stick margarine (solid fat) and for a sample of 6brands of liquid margarine and obtained the following results:

We want to determine if there a significant difference in the average amount of saturated fat in solid andliquid fats. What is the test statistic? (assume the population data is normally distributed)

a) t = 34.743

b) t = 34.243

c) z = 34.743

d) z = 34.243

e) t = 23.065

Question 7

It has been observed that some persons who suffer acute heartburn, again suffer acute heartburn within oneyear of the first episode. This is due, in part, to damage from the first episode. The performance of a newdrug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode.



In order to do this two groups of people suffering a first episode are selected. There are 55 people in the firstgroup and this group will be administered the new drug. There are 75 people in the second group and thisgroup will be administered a placebo. After one year, 10% of the first group has a second episode and 9% ofthe second group has a second episode. Conduct a hypothesis test to determine, at the significance level 0.01,whether there is reason to believe that the true percentage of those in the first group who suffer a secondepisode is different from the true percentage of those in the second group who suffer a second episode?Select the [Alternative Hypothesis, Value of the Test Statistic].

a) [p1 = p2 , 0.1928]

b) [p1 ≠ p2 , 0.1928]

c) [p1 ≠ p2 , 0.2928]

d) [p1 < p2 , 0.1928]

e) [p1 > p2 , 0.1928]


Question 8

It has been observed that some persons who suffer acute heartburn, again suffer acute heartburn within oneyear of the first episode. This is due, in part, to damage from the first episode. The performance of a newdrug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode.In order to do this two groups of people suffering a first episode are selected. There are 55 people in the firstgroup and this group will be administered the new drug. There are 45 people in the second group and thisgroup will be administered a placebo. After one year, 11% of the first group has a second episode and 9% ofthe second group has a second episode. Conduct a hypothesis test to determine, at the significance level 0.1,whether there is reason to believe that the true percentage of those in the first group who suffer a secondepisode is different from the true percentage of those in the second group who suffer a second episode?Select the [Rejection Region, Decision to Reject (RH0) or Failure to Reject (FRH0)].

a) [z < -1.65, RH0]

b) [z < -1.65 and z > 1.65, FRH0]

c) [z > 1.65, FRH0]

d) [z < -1.65 or z > 1.65, FRH0]

e) [z > -1.65 and z < 1.65, RH0]


Question 9

A private and a public university are located in the same city. For the private university, 1038 alumni weresurveyed and 647 said that they attended at least one class reunion. For the public university, 808 out of 1311

b was observed for 13 days. the number of the particular

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