Most of the women in this sample felt that their actual weight was

a. about the same as their ideal weight.

b. less than their ideal weight.

c. greater than their ideal weight.

d. no more than 2 pounds different from their ideal weight.

27. A chi-square test of the relationship between personal perception of emotional health and

marital status led to rejection of the null hypothesis, indicating that there is a relationship

between these two variables. One conclusion that can be drawn is:

a. Marriage leads to better emotional health.

b. Better emotional health leads to marriage.

c. The more emotionally healthy someone is, the more likely they are to be married.

d. There are likely to be confounding variables related to both emotional health and

marital status.

28. A chi-square test involves a set of counts called "expected counts." What are the expected

counts?

a. Hypothetical counts that would occur of the alternative hypothesis were true.

b. Hypothetical counts that would occur if the null hypothesis were true.

c. The actual counts that did occur in the observed data.

d. The long-run counts that would be expected if the observed counts are representative.

29. Pick the choice that best completes the following sentence. If a relationship between two

variables is called statistically significant, it means the investigators think the variables are

a. related in the population represented by the sample.

b. not related in the population represented by the sample.

c. related in the sample due to chance alone.

d. very important.

30. Simpson's Paradox occurs when

a. No baseline risk is given, so it is not know whether or not a high relative risk has

practical importance.

b. A confounding variable rather than the explanatory variable is responsible for a change in

the response variable.

c. The direction of the relationship between two variables changes when the categories of

a confounding variable are taken into account.

d. The results of a test are statistically significant but are really due to chance.

One use of a regression line is

a. to determine if any x-values are outliers.

b. to determine if any y-values are outliers.

c. to determine if a change in x causes a change in y.

d. to estimate the change in y for a one-unit change in x.

18. Past data has shown that the regression line relating the final exam score and the midterm

exam score for students who take statistics from a certain professor is:

final exam = 50 + 0.5 midterm

One interpretation of the slope is

a. a student who scored 0 on the midterm would be predicted to score 50 on the final exam.

b. a student who scored 0 on the final exam would be predicted to score 50 on the midterm

exam.

c. a student who scored 10 points higher than another student on the midterm would be

predicted to score 5 points higher than the other student on the final exam.

d. students only receive half as much credit (.5) for a correct answer on the final exam

compared to a correct answer on the midterm exam.

Questions 19 to 21: A survey asked people how often they exceed speed limits. The data are

then categorized into the following contingency table of counts showing the relationship between

age group and response.

Exceed Limit if Possible?

Age Always Not Always Total

Under 30 100 100 200

Over 30 40 160 200

Total 140 260 400

19. Among people with age over 30, what's the "risk" of always exceeding the speed limit?

a. 0.20

b. 0.40

c. 0.33

d. 0.50

20. Among people with age under 30 what are the odds that they always exceed the speed limit?

a. 1 to 2

b. 2 to 1

c. 1 to 1

d. 50%

21. What is the relative risk of always exceeding the speed limit for people under 30 compared to

people over 30?

a. 2.5

b. 0.4

c. 0.5

d. 30%

2. (No R required) This question is based on data about teacher salaries from the 50 states plus DC (so n = 51) in the mid 1980s. The variables are: c PAY, y: average annual public school teacher salary, in dollars. 0 SPEND, 2:1: Spending on public schools per student, in dollars. 0 AREA: Region (North, South, West). Table 1 below provides some summary statistics of the data: n Mean SPEND $3901 $3274 West 13 $26159 $3919 Table 1: Summary Statistics of Teacher Pay (a) Based only on Table 1, briey comment on the relationship between geographic area and mean teacher pay. (b) Based only on Table 1, briey comment on the relationship between mean public school expenditure (per student) and mean teacher pay. ((3) Briey explain why using a multiple linear regression model with teacher pay as the response variable with geographic area and public school expenditure (per student) can give further insight into the relationship(s) between these variables. QUESTION 4 Write a result section based on the statistical results below. Provide practical suggestions based on statistical findings. (6 marks) Table 1 Group Statistics Geographical Sid. Error Location N Mean Sid. Deviation Mean Crime Rate Rural 19 93.5526 2.90390 66620 2016 Urban 32 94.2969 3.65209 64560 Independent Samples Test t-test for Equality of Means Sid. 95% Confidence Sig. Mean Error Interval of the Levene's Test for Equality of Variances (2- Differen Differe Difference F Sig T tailed) ce nce Lower Upper Crime Rate Equal 1.157 .287 .757 49 453 .7442 .9836 2.721 1.232 2016 variances assumed Equal 802 44.761 427 .7442 .9277 2.613 1.124 variances not assumedQuestion 5 (18 points) The CDC publishes disease prevalence statistics for people of different ages, races, and geographic locations each year. In 2017, 50% of children in the US were classified as White, 14% were classified as Black, and 36% have an Other classification. Asthma prevalence varies by race - with a prevalence of 10% for White children, 18% for Black children, and 13% for Other children. a. What percent of Black children do not have asthma? 2 b. What percent of US Children have asthma? C. What is the probability that a child that does not have asthma is White? 2w.sunysuffolk.edu/Library BRARY OF CONGRESS ASSIFICATION SYSTEM izes books by disciplines, shelved in G letterumber combinations. GENERAL WORKS AF General Encyclopedias AY Almanacs PHILOSOPHY, PSYCHOLOGY, RELIGION B-BD; BH-BJ Philosophy BF Psychology BL-BX Religion AUXILIARY SCIENCES OF HISTORY CC Archaeology CT Collective Biography GENERAL AND OLD WORLD HISTORY World History width of 0.050 MHz. When tuned in to that particular station, what is the Q factor of your DA-DR stations operating at adjacent frequencies. Assume your receiving circuit has a resonance receiver circuit should be much smaller than 0.20 MHz, so that you do not receive signal from Europe radio is tuned to a station operating at a frequency of 100.1 MHz, the resonance width of the DS 13. FM radio stations typically operate at frequencies separated by 0.20 MHz. Thus, when your Asia DT Africa AMERICAN HISTORY U. S. LOCAL HISTORY, CANADA, LATIN AMERICA GEOGRAPHY, ANTHROPOLOGY, RECREATION Geography Anthropology Folklore Sports and Recreation 6 OCIAL SCIENCES Statistics B-HJ Economics & Business M-HX Sociology Criminal Justice circuit? OLITICAL SCIENCE -JC Political Science JQ Constitutional Law and Public Administration International Law