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Shortly before the 2012presidential election, a survey was taken by the school newspaper at a very large state university. Randomly selected students were asked, “Whom do you plan to vote for in the upcoming presidential election?” Here is a two-way table of the responses by political persuasion for 1850students:

Candidate of

choice


Political persuasion

Democrat
Republican
Independent
Total
Obama
925
78
26
1029
Romney
78
598
19
695
Other
2
8
11
21
Undecided
32
28
45
105
Total
1037
712
101
1850

Which of the following statements about these data is true?

a. The percent of Republicans among the respondents is 41%.

b. The marginal relative frequencies for the variable choice of candidate are given by

Obama: 55.6%; Romney: 37.6%; Other: 1.1%; Undecided: 5.7%.

c. About 11.2%of Democrats reported that they planned to vote for Romney.

d. About 44.6%of those who are undecided are Independents.

e. The distribution of political persuasion among those for whom Romney is the

candidate of choice is Democrat: 7.5%; Republican: 84.0%; Independent: 18.8%.

Short Answer

Expert verified

Option (b) is correct :

The marginal relative frequencies for the variable choice of candidate are given by

Obama: 55.6%; Romney: 37.6%; Other:1.1% ; Undecided: 5.7%.

Step by step solution

01

Given Information

We are given following table:

Candidate of

choice


Political persuasion

Democrat
Republican
Independent
Total
Obama
925
7826
1029
Romney
78
598
19
695
Other
2
811
21
Undecided
32
28
45
105
Total
1037
712
101
1850

We need to find correct alternative corresponding to given data.

02

Explanation

Formula for percentage = valuetotalvalue×100

Percentage of students who voted Republican = 7121850×100=38%

So, option (a) is incorrect

The marginal relative frequencies for the variable choice of candidate are given by

Obama = 10291850×100=55.6% ; Romney = 6951850×100=37.56%


Other = localid="1654225534579" 211850×100=1.1%; Undecided = localid="1654225615414" 1051850×100=5.7%

So, option (b) is correct.

localid="1654225660667" Percentage of democrats planned to vote for Romney = localid="1654225544682" 781037×100=7.5%

So, option (c) is incorrect.

localid="1654225663739" Percentage of who are undecided are Independents = localid="1654225550676" 45106×100=42.4%

So, option (d) is incorrect.

localid="1654225648597" Percentage distribution of political persuasion among those for whom Romney =

Democrats supporting Romney = localid="1654225556232" 781037×100=7.5%

Republican supporting Romney = localid="1654225561219" 512598×100=85.6%

So , option (e) is incorrect.

Hence, option (b) is the only correct option.

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Most popular questions from this chapter

Steroids in high school A study by the National Athletic Trainers Association surveyed random samples of 1679high school freshmen and 1366 high school seniors in Illinois. Results showed that 34of the freshmen and 24of the seniors had used anabolic steroids. Steroids, which are dangerous, are sometimes used in an attempt to improve athletic performance. Researchers want to know if there is a difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids.

a. State appropriate hypotheses for performing a significance test. Be sure to define the parameters of interest.

b. Check if the conditions for performing the test are met.

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained an SRS of 60high school students in a large suburban school district and found the mean time spent in extracurricular activities per week to be 6hours with a standard deviation of 3hours. The researcher also obtained an independent SRS of 40high school students in a large city school district and found the mean time spent in extracurricular activities per week to be 5hours with a standard deviation of 2hours. Suppose that the researcher decides to carry out a significance test of H0: μsuburban=μcity versus a two-sided alternativ

The P-value for the test is 0.048. A correct conclusion is to

a. fail to reject H0because0.048<α=0.05. There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

b. fail to reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

c. fail to reject H0because0.048<α=0.05. There is convincing evidence that the average time spent on extracurricular activities by students in the suburban and city school districts is the same.

d. reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

e. reject H0because 0.048<α=0.05 . There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

Which of the following describes a Type II error in the context of this study?

a. Finding convincing evidence that the true means are different for males and females when in reality the true means are the same

b. Finding convincing evidence that the true means are different for males and females when in reality the true means are different

c. Not finding convincing evidence that the true means are different for males and females when in reality the true means are the same

d. Not finding convincing evidence that the true means are different for males and females when in reality the true means are different

e. Not finding convincing evidence that the true means are different for males and females when in reality there is convincing evidence that the true means are different.

Suppose the probability that a softball player gets a hit in any single at-bat is 0.300. Assuming that her chance of getting a hit on a particular time at bat is independent of her other times at bat, what is the probability that she will not get a hit until her fourth time at bat in a game?

a.(43)(0.3)1(0.7)33051526=0.200=20.0%43(0.3)1(0.7)3

b.(43)(0.3)3(0.7)13051526=0.200=20.0%43(0.3)3(0.7)1

C.(41)(0.3)3(0.7)13051526=0.200=20.0%41(0.3)3(0.7)1

d.(0.3)3(0.7)13051526=0.200=20.0%(0.3)3(0.7)1

e.(0.3)1(0.7)33051526=0.200=20.0%(0.3)1(0.7)3

Starting in the 1970s, medical technology has enabled babies with very low birth weight (VLBW, less than1500grams, or about 3.3 pounds) to survive without major handicaps. It was noticed that these children nonetheless had difficulties in school and as adults. A long-term study has followed 242 randomly selected VLBW babies to age 20years, along with a control group of 233 randomly selected babies from the same population who had normal birth weight. 50

a. Is this an experiment or an observational study? Why?

b. At age20,179 of the VLBW group and 193 of the control group had graduated from high school. Do these data provide convincing evidence at the α=0.05 significance level that the graduation rate among VLBW babies is less than for normal-birth-weight babies?

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