Reference no: EM132339006

Question 1

Which group is the MOST likely to vote?

Options:

a) Those who regularly attend church or religious services (at least weekly)
b) Single people
c) Women
d) Men

Question 2

According to our survey data, white voters are much more likely to vote than non-white voters
True
False

Question 3

options:
Which statement appears to be more true?
a) Trump did better amongst Conservatives than Clinton did amongst Liberals
b) Clinton did better amongst Liberals than Trump did amongst Conservatives.

Question 4

Which statement is more true?

options:

a) The rate of satisfaction with Trump's performance is higher amongst his 2016 voters than is the dissatisfaction amongst those who voted for Clinton.
b) The rate of dissatisfaction with Trump's performance is higher amongst Clinton's voters than is the satisfaction amongst those who voted for Trump.

Question 5
Self-identified Liberals were more likely to vote than self-identified Conservatives.

options:
True
False

Question 6
From which demographic group did Trump win the highest percentage of the vote in 2016?
Question 6 options:
a) Those who regularly attend church or religious services (at least once a week)
b) Whites
c) Those who rarely (or never) attend church or religious services

Men

Question 7
From which demographic group did Clinton win the highest percentage of the vote?
options:
a) Women
b) Those who regularly attend church or religious services (at least once a week)
c) Non-Whites
d) Those who rarely (or never) attend church or religious services

Question 8
Which of these groups is the LEAST LIKELY to vote?

options:
a) Those who favor the legalization of abortion
b) Those dissatisfied with the Affordable Care Act
c) Those who believe that immigration is an urgent issue that needs quick attention
d) Those who oppose the legalization of abortion

Question 9
Trump did BEST amongst voters who:

options:

a) Believed that illegal immigration is NOT a major problem that needs immediate attention
b) Believed that abortion should be restricted
c) Believed that illegal immigration is a major problem that needs to be addressed quickly
d) Disagreed with the Affordable Care Act

Question 10
Trump did WORST amongst voters who:

options:

a) Supported US military intervention around the world
b) Believed that abortion should be illegal
c) Were satisfied with the Affordable Care Act
d) Believed that illegal immigration is NOT a major problem that needs immediate attention

Question 11
Clinton did BEST amongst voters who:

options:

a) Were dissatisfied with free trade agreements
b) Were satisfied with free trade agreements
c) Believed that abortion should be illegal
d) Were satisfied with the Affordable Care Act

Question 12
Clinton did WORST amongst voters who:

options:

a) Believed that abortion should be illegal
b) Were unhappy with the Affordable Care Act
c) Were satisfied with free trade agreements
d) Were dissatisfied with free trade agreements

Question 13
Evaluate this statement, based on the results of the survey: Of the voters we surveyed, Clinton was more affected by lower turnout amongst those likely to support her than was Trump.

options:
True
False

Question 14
In this survey, we found a "gender gap" that shows that the majority of Women preferred Clinton over Trump.

options:
True
False

Question 15
In the 2016 campaign, candidate Trump focused a large amount of attention in his campaign on the issue of free trade. Given the results shown in this survey, explain (in a couple of sentences) whether you believe this was an effective strategy, or not, in distinguishing his position from that of Mrs. Clinton. Make sure you reference the DATA in your answer.

Question 16
Which statement is MORE accurate?

options:

a) Those who voted for and say they currently approve of President Trump are voting for Republican candidates in 2018 at a higher rate
b) Those who voted for Clinton in 2016 and currently DO NOT support Trump are voting for Democratic candidates in 2018 at a higher rate.

Question 17
Which issue is showing the LEAST amount of effect on partisan choices in the 2018 elections?

options:

a) Abortion
b) Free Trade
c) Immigration
d) Affordable Care Act

Question 18
Which group is MOST LIKELY to support Republicans in the 2018 elections?

options:

a) Those who oppose legal abortion
b) Those in favor of free trade
c) Those opposed to the Affordable Care Act
d) Those who believe immigration is a serious problem that needs to be dealt with quickly

Question 19
Take a look at the five (5) maps of Minnesota election results from 2012, 2014, and 2016. In four of those races (President in 2012, Governor in 2014, State House in 2016, and Congress in 2016), there's a generally recognizable pattern of support across the state. Now compare that pattern to the result in the Presidential race in 2016. In which area of the state did Trump appear to MOST run AHEAD of most Republican candidates in those other races?

options:

a) The Iron Range (places like St. Louis County and Itasca Counties)
b) The "outer ring" suburbs outside the Twin Cities (places like Scott and Carver Counties, and the southern part of Dakota County)
c) The inner cities of Minneapolis and St. Paul
d) The "inner ring" suburbs around the Twin Cities (places like Bloomington and southern Anoka County)

Question 20
Now, turning to the Census Bureau data (by legislative district). In North Dakota (in 2012), which factor seemed MOST significant when looking for an association with partisan voting behavior?

options:

a) Home Ownership
b) Level of Higher Education
c) Median Income
d) The Unemployment Rate

Question 21
In Minnesota (in 2014), which TWO factors seem to be showing the strongest association with partisan voting behavior?

options:

a) Race

b) Labor Participation

c) Median Income

d) Home Ownership

Question 22
In Minnesota (in 2016), which TWO factors seem to be showing the strongest association with the vote for President?

options:

a) Level of Higher Education
b) Race
c) Home Ownership
d) Unemployment

Question 23
In Minnesota, in which year was Race a more predictable factor in trying to figure out voting behavior?

options:

a) Support for Trump in 2016
b) General support for Republicans in 2014

Question 24
In Minnesota, in which year was Median Income a more predictable factor in trying to figure out voting behavior?
Question 24 options:

a) Support for Trump in 2016
b) General support for Republicans in 2014

Question 25
In North Dakota, in which year was Home Ownership a more predictable factor in trying to figure out voting behavior?

options:

a) Support for Trump in 2016
b) General support for Republicans in 2012

Question 26
In North Dakota, in which year was the level of Higher Education a more predictable factor in trying to figure out voting behavior?

options:

a) General support for Republicans in 2012
b) Support for Trump in 2016

Question 27

Regarding the last question: in North Dakota (in 2016), which statement is more generally true about the relationship between the level of Higher Education and support for Trump?

options:

a) As the level of Higher Education went up, support for Trump went up

b) As the level of Higher Education went up, support for Trump went down

Question 28
Again, staying on the same issue: in North Dakota (in 2012), which statement is more generally true about the relationship between the level of Higher Education and support for Republicans generally?

options:

a) As the level of Higher Education went up, support for Republicans went up
b) As the level of Higher Education went up, support for Republicans went down
c) Neither of these statements is true: the data support no conclusion

Question 29
In Minnesota, in which year was the level of Higher Education a more predictable factor in trying to figure out voting behavior?

options:

a) General support for Republicans in 2014

b) Support for Trump in 2016

Question 30

BONUS QUESTION: What's the challenge in using Race as a predicting factor in North Dakota?

If you compare the Regression charts and graphs between North Dakota and Minnesota, both the R-square calculations and Co-efficients (slopes) show a stronger predictability between race and voting behavior in Minnesota.

What is it about North Dakota that's going to make the use of Race difficult as a predictor of voting behavior?