Question 1

(CO6) From a random sample of 55 businesses, it is found that the mean time that employees spend on personal issues each week is 4.9 hours with a standard deviation of 0.35 hours. What is the 95% confidence interval for the amount of time spent on personal issues?
• (4.82, 4.98)
• (4.83, 4.97)
• (4.81, 4.99)
• (4.84, 4.96)

Question 2
(CO6) If a confidence interval is given from 8.52 to 10.23 and the mean is known to be 9.375, what is the margin of error?
• 8.520
• 1.710
• 0.855
• 0.428

Question 3
(CO6) Which of the following is most likely to lead to a small margin of error?
• small mean
• small standard deviation
• large sample size
• large margin of error

Question 4
(CO6) From a random sample of 41 teens, it is found that on average they spend 43.1 hours each week online with a standard deviation of 5.91 hours. What is the 90% confidence interval for the amount of time they spend online each week?
• (40.58, 45.62)
• (31.28, 54.92)
• (37.19, 49.01)
• (41.58, 44.62)

Question 5
(CO6) A company making refrigerators strives for the internal temperature to have a mean of 37.5 degrees with a standard deviation of 0.6 degrees, based on samples of 100. A sample of 100 refrigerators have an average temperature of 37.37 degrees. Are the refrigerators within the 90% confidence interval?
• No, the temperature is outside the confidence interval of (36.90, 38.10)
• No, the temperature is outside the confidence interval of (37.40, 37.60)
• Yes, the temperature is within the confidence interval of (37.40, 37.60)
• Yes, the temperature is within the confidence interval of (36.90, 38.10)

Question 6

(CO6) What is the 97% confidence interval for a sample of 104 soda cans that have a mean amount of 12.10 ounces and a standard deviation of 0.08 ounces?
• (12.033, 12.067)
• (12.020, 12.180)
• (12.035, 12.065)
• (12.083, 12.117

Question 7
(CO6) Determine the minimum sample size required when you want to be 98% confident that the sample mean is within two units of the population mean. Assume a standard deviation of 4.82 in a normally distributed population.
• 32
• 34
• 33
• 31

Question 8
(CO6) Determine the minimum sample size required when you want to be 80% confident that the sample mean is within 1.3 units of the population mean. Assume a standard deviation of 9.24 in a normally distributed population.
• 195
• 83
• 84
• 194

Question 9
(CO6) Determine the minimum sample size required when you want to be 75% confident that the sample mean is within fifteen units of the population mean. Assume a standard deviation of 327.8 in a normally distributed population
• 1293
• 785
• 1835
• 632

Question 10

(CO6) In a sample of 8 high school students, they spent an average of 24.8 hours each week doing sports with a standard deviation of 3.2 hours. Find the 95% confidence interval.
• (22.66, 26.94)
• (24.10, 25.50)
• (22.12, 27.48)
• (21.60, 28.00)

Question 11
(CO6) In a sample of 15 stuffed animals, you find that they weigh an average of 8.56 ounces with a standard deviation of 0.07 ounces. Find the 92% confidence interval.
• (8.521, 8.599)
• (8.528, 8.591)
• (8.526, 8.594)
• (8.543, 8.577)

Question 12
(CO6) Market research indicates that a new product has the potential to make the company an additional $3.8 million, with a standard deviation of $1.6 million. If this estimate was based on a sample of 10 customers, what would be the 90% confidence interval?
• (2.51, 5.09)
• (2.70, 4.90)
• (2.87, 4.73)
• (2.81, 4.79)
•

Question 13
(CO6) Supplier claims that they are 95% confident that their products will be in the interval of 20.45 to 21.05. You take samples and find that the 95% confidence interval of what they are sending is 20.50 to 21.10. What conclusion can be made?
• The supplier products have a higher mean than claimed
• The supplier is more accurate than they claimed
• The supplier products have a lower mean than claimed
• The supplier is less accurate than they have claimed

Question 14
(CO6) In a sample of 17 small candles, the weight is found to be 3.72 ounces with a standard deviation of 0.963 ounces. What would be the 87% confidence interval for the size of the candles?
• (3.199, 4.241)
• (3.347, 4.093)
• (3.369, 4.071)
• (2.757, 4.683)

Question 15
(CO6) In a situation where the standard deviation was increased from 3.1 to 5.8, what would be the impact on the confidence interval?
• It would remain the same as standard deviation does not impact confidence intervals
• It would become narrower due to the increased standard deviation
• It would become narrower with more values
• It would become wider due to the increased standard deviation

Question 16
(CO7) A company claims that its heaters last more than 5 years. Write the null and alternative hypotheses and note which is the claim.
• Ho: μ ≤ 5, Ha: μ < 5 (claim) • Ho: μ = 5 (claim), Ha: μ ≥ 5 • Ho: μ ≤ 5, Ha: μ > 5 (claim)
• Ho: μ > 5 (claim), Ha: μ ≤ 5

Question 17
(CO7) An executive claims that her employees spend no more than 2.5 hours each week in meetings. Write the null and alternative hypotheses and note which is the claim.
• Ho: μ ≤ 2.5 (claim), Ha: μ > 2.5
• Ho: μ = 2.5 (claim), Ha: μ ≥ 2.5
• Ho: μ > 2.5, Ha: μ ≤ 2.5 (claim)
• Ho: μ ≤ 2.5, Ha: μ < 2.5 (claim) Question 18 (CO7) In hypothesis testing, a key element in the structure of the hypotheses is that the alternative hypothesis has the ________________________. • claim • simple inequality • truth • equality Question 19 (CO7) A landscaping company claims that at most 90% of workers arrive on time. If a hypothesis test is performed that rejects the null hypothesis, how would this decision be interpreted? • There is sufficient evidence to support the claim that at most 90% of workers arrive on time • There is sufficient evidence to support the claim that a least 90% of workers arrive on time • There is not sufficient evidence to support the claim that at most 90% of workers arrive on time • There is not sufficient evidence to support the claim that at least 90% of workers arrive on time Question 20 (CO7) A textbook company claims that their book is so engaging that less than 55% of students read it. If a hypothesis test is performed that fails to reject the null hypothesis, how would this decision be interpreted? • There is not sufficient evidence to support the claim that less than 55% of students read this text • There is sufficient evidence to support the claim that no more than 55% of students read this text • There is not sufficient evidence to support the claim that no more than 55% of students read this text • There is sufficient evidence to support the claim that less than 55% of students read this text Question 21 (CO7) An advocacy group claims that the mean braking distance of a certain type of tire is 75 feet when the car is going 40 miles per hour. In a test of 45 of these tires, the braking distance has a mean of 76 and a standard deviation of 5.9 feet. Find the standardized test statistic and the corresponding p-value. • z-test statistic = -1.14, p-value = 0.1278 • z-test statistic = -1.14, p-value = 0.2555 • z-test statistic = 1.14, p-value = 0.1278 • z-test statistic = 1.14, p-value = 0.2555 Question 22 (CO7) The heights of 82 roller coasters have a mean of 284.9 feet and a standard deviation of 59.3 feet. Find the standardized tests statistics and the corresponding p-value when the claim is that roller coasters are more than 290 feet tall. • z-test statistic = -0.78, p-value = 0.2181 • z-test statistic = 0.78, p-value = 0.2181 • z-test statistic = 0.78, p-value = 0.4361 • z-test statistic = -0.78, p-value = 0.4361 Question 23 (CO7) A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 720 hours. A random sample of 51 light bulbs as a mean of 701.6 hours with a standard deviation of 62 hours. At an α=0.05, can you support the company’s claim using the test statistic? • Claim is the null, reject the null and cannot support claim as test statistic (-2.12) is in the rejection region defined by the critical value (-1.645) • Claim is the alternative, fail to reject the null and cannot support claim as the test statistic (-2.12) is in the rejection region defined by the critical value (-1.96) • Claim is the null, fail to reject the null and cannot support claim as test statistic (-2.12) is not in the rejection region defined by the critical value (-1.645) • Claim is the alternative, reject the null and support claim as test statistic (-2.12) is not in the rejection region defined by the critical value (-1.96) Question 24 (CO7) A restaurant claims the customers receive their food in less than 16 minutes. A random sample of 39 customers finds a mean wait time for food to be 15.8 minutes with a standard deviation of 4.1 minutes. At α = 0.04, can you support the organizations’ claim using the test statistic? • Claim is the null, fail to reject the null so support the claim as test statistic (-0.30) is not in the rejection region defined by the critical value (1.75) • Claim is the alternative, reject the null so support the claim as test statistic (-0.30) is in the rejection region defined by the critical value (-2.05) • Claim is the null, reject the null so cannot support the claim as test statistic (-0.30) is in the rejection region defined by the critical value (1.75) • Claim is the alternative, fail to reject the null so cannot support the claim as test statistic (-0.30) is not in the rejection region defined by the critical value (-1.75) Question 25 (CO7) A manufacturer claims that their calculators are 6.800 inches long. A random sample of 39 of their calculators finds they have a mean of 6.812 inches with a standard deviation of 0.05 inches. At α=0.08, can you support the manufacturer’s claim using the p value? • Claim is the alternative, fail to reject the null and support claim as p-value (0.067) is less than alpha (0.08) • Claim is the null, fail to reject the null and support claim as p-value (0.134) is greater than alpha (0.08) • Claim is the alternative, reject the null and cannot support claim as p-value (0.134) is greater than alpha (0.08) • Claim is the null, reject the null and cannot support claim as p-value (0.067) is less than alpha (0.08) Question 26 (CO7) A travel analyst claims that the mean room rates at a three-star hotel in Chicago is greater than $152. In a random sample of 36 three-star hotel rooms in Chicago, the mean room rate is $160 with a standard deviation of $41. At α=0.10, what type of test is this and can you support the analyst’s claim using the p-value? • Claim is the alternative, reject the null as p-value (0.121) is not less than alpha (0.10), and can support the claim • Claim is the alternative, fail to reject the null as p-value (0.121) is not less than alpha (0.10), and cannot support the claim • Claim is the null, reject the null as p-value (0.121) is not less than alpha (0.10), and cannot support the claim • Claim is the null, fail to reject the null as p-value (0.121) is not less than alpha (0.10), and cannot support the claim Question 27 (CO7) A car company claims that the mean gas mileage for its luxury sedan is at least 24 miles per gallon. A random sample of 7 cars has a mean gas mileage of 23 miles per gallon and a standard deviation of 2.4 miles per gallon. At α=0.05, can you support the company’s claim? • No, since the test statistic is in the rejection region defined by the critical value, the null is rejected. The claim is the null, so is not supported • Yes, since the test statistic is in the rejection region defined by the critical value, the null is rejected. The claim is the null, so is supported • Yes, since the test statistic is not in the rejection region defined by the critical value, the null is not rejected. The claim is the null, so is supported • No, since the test statistic is not in the rejection region defined by the critical value, the null is not rejected. The claim is the null, so is supported Question 28 (CO7) A state Department of Transportation claims that the mean wait time for various services at its different location is more than 6 minutes. A random sample of 16 services at different locations has a mean wait time of 9.5 minutes and a standard deviation of 7.6 minutes. At α=0.05, can the department’s claim be supported? • No, since p of 0.043 is greater than 0.05, fail to reject the null. Claim is alternative, so is not supported • Yes, since p of 0.043 is less than 0.05, reject the null. Claim is alternative, so is supported • Yes, since p of 0.043 is greater than 0.05, fail to reject the null. Claim is null, so is supported • No, since p of 0.043 is greater than 0.05, reject the null. Claim is null, so is not supported Question 29 (CO7) A used car dealer says that the mean price of a three-year-old sport utility vehicle in good condition is $18,000. A random sample of 20 such vehicles has a mean price of $18,450 and a standard deviation of $1050. At α=0.08, can the dealer’s claim be supported? • No, since the test statistic of 1.92 is in the rejection region defined by the critical value of 1.85, the null is rejected. The claim is the null, so is not supported • Yes, since the test statistic of 1.92 is not in the rejection region defined by the critical value of 1.85, the null is not rejected. The claim is the null, so is supported • No, since the test statistic of 1.92 is close to the critical value of 1.24, the null is not rejected. The claim is the null, so is supported • Yes, since the test statistic of 1.92 is in the rejection region defined by the critical value of 1.46, the null is rejected. The claim is the null, so is supported Question 30 (CO7) A researcher wants to determine if eating more vegetables helps high school juniors learn algebra. A junior class is divided into pairs and one student from each pair has extra vegetables and the other in the pair does not. After 2 weeks, the entire class takes an algebra test and the results of the two groups are compared. To be a valid matched pair test, what should the researcher consider in creating the two groups? • That the group with the extra vegetables also has more sweets • That each pair of students has similar IQs or abilities in mathematics • That the group without extra vegetables receives different instruction • That each pair of students has similar ages at the time of the testing