You scored 0 out of 100 Question 1 PRINTABLE VERSION Quiz 10 The z-score associated with the 97 percent confidence interval is a) 2.170 b) 2.081 c) 1.829 d) 1.881 e) 2.673 Question 2 What will reduce the width of a confidence interval? a) Increase variance. b) Increase confidence level. c) Decrease number in sample. d) Decrease confidence level. Question 3 A simple random sample of 64 8th graders at a large suburban middle school indicated that 88% of them are involved with some type of after school activity. Find the margin of error associated with a 98% confidence interval that estimates the proportion of them that are involved in an after school activity. a) 0.144 b) 0.283 https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 1/7
c) 0.094 d) 0.083 e) 0.041 Question 4 A simple random sample of 49 8th graders at a large suburban middle school indicated that 89% of them are involved with some type of after school activity. Find the 95% confidence interval that estimates the proportion of them that are involved in an after school activity. a) [0.722, 0.978] b) [0.802, 0.978] c) [0.702, 0.928] d) [0.802, 0.778] e) [0.852, 0.857] Question 5 Mars Inc. claims that they produce M&Ms with the following distributions: Brown 30% Red 20% Yellow 20% Orange 10% Green 10% Blue 10% A bag of M&Ms was randomly selected from the grocery store shelf, and the color counts were: Brown 21 Red 23 Yellow 19 Orange 16 Green 16 Blue 14 Find the 98% confidence interval for the proportion of brown M&Ms in that bag. a) [0.105, 0.081] b) [0.105, 0.281] c) [0.155, 0.160] https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 2/7
d) [0.005, 0.231] e) [0.025, 0.281] Question 6 Mars Inc. claims that they produce M&Ms with the following distributions: Brown 30% Red 20% Yellow 20% Orange 10% Green 10% Blue 10% A bag of M&Ms was randomly selected from the grocery store shelf, and the color counts were: Brown 21 Red 24 Yellow 19 Orange 13 Green 17 Blue 14 Find the 97% confidence interval for the proportion of blue M&Ms in that bag. a) [0.059, 0.000] b) [0.059, 0.200] c) [-0.021, 0.200] d) [0.109, 0.114] e) [-0.041, 0.150] Question 7 Mars Inc. claims that they produce M&Ms with the following distributions: Brown 30% Red 20% Yellow 20% Orange 10% Green 10% Blue 10% How many M&Ms must be sampled to construct the 98% confidence interval for the proportion of yellow M&Ms in that bag if we want a margin of error of ±.11? a) 71 b) 72 https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 3/7
c) 74 d) 55 e) 56 Question 8 An experimenter flips a coin 100 times and gets 56 heads. Find the 96.5% confidence interval for the probability of flipping a head with this coin. a) [0.355, 0.615] b) [0.375, 0.665] c) [0.455, 0.665] d) [0.505, 0.510] e) [0.455, 0.465] Question 9 Suppose that prior to conducting a coin-flipping experiment, we suspect that the coin is fair. How many times would we have to flip the coin in order to obtain a 99% confidence interval of width of at most.18 for the probability of flipping a head? a) 205 b) 167 c) 210 d) 166 e) 204 Question 10 https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 4/7
It has been observed that some persons who suffer from common colds are diagnosed with it again within one year of the first episode. This is due, in part, to damage from the first episode. In order to examine the percentage of the persons who suffer from common colds a second time, a random sample of 1000 people who suffered from common colds was collected. It was observed that 14 of them again suffered from common colds within one year. Select a 90% confidence interval for the true proportion of those who suffer a second episode. a) [0.0129, 0.0301] b) [0.00786, 0.0201] c) [0.00886, 0.0701] d) [0.0109, 0.0501] e) [0.00886, 0.0401] Question 11 When solving for the sample size required to estimate p to within a particular margin of error, under what circumstances do we use p =.5? a) When the computed value of p =.5 b) When we have no prior information on the approximate value of p or p. c) When p =.4 and 1 - p =.6 d) When the variance is equal to.5 or when we desire a most conservative sample size. e) When the margin of error desired is less than or equal to.5 Question 12 Television viewers often express doubts about the validity of certain commercials. In an attempt to answer their critics, a large advertiser wants to estimate the true proportion of consumers who believe what is shown in commercials. Preliminary studies indicate that about 40% of those surveyed believe what is shown in commercials. What is the minimum number of consumers that should be sampled by the advertiser to be 99% confident that their estimate will fall within 1% of the true population proportion? a) 15941 b) 15909 https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 5/7
c) 15938 d) 15917 e) 15926 Question 13 An oil company is interested in estimating the true proportion of female truck drivers based in five southern states. A statistician hired by the oil company must determine the sample size needed in order to make the estimate accurate to within 3% of the true proportion with 97% confidence. What is the minimum number of truck drivers that the statistician should sample in these southern states in order to achieve the desired accuracy? a) 1325 b) 1295 c) 1309 d) 1324 e) 1302 Question 14 It has been observed that some persons who suffer renal failure, again suffer renal failure within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug 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 104 people in the first group and this group will be administered the new drug. There are 160 people in the second group and this group wil be administered a placebo. After one year, 11% of the first group has a second episode and 17% of the second group has a second episode. Select a 95% confidence interval for the difference in true proportion of the two groups. a) [-0.050, 0.170] b) [-0.024, 0.021] c) [-0.170, 0.050] d) [-0.644, 0.524] https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 6/7
e) [-0.144, 0.024] https://www.casa.uh.edu/courseware2008/root/pages/cw/users/student/grades/printtest.htm 7/7