Question #1. A: Research: Are females more likely to vote Democratic or Republican?
B: Directional Hypothesis: Females are more likely to vote Democratic.
C: Unit of Analysis: Individual level
D: Dependent Variable: Party vote
E: Independent variable: Gender
Question #2. 1.Interval
2. Ratio
3. Nominal
4. Ordinal
5. Interval
6. Interval
Question # 3. Hypothesis 1:
÷ Unit of Analysis: State-level
÷ The Dependent Variable: Voter turn out rate
÷ Independent Variable: The percentage of high school graduates
Hypothesis 2:
÷ Unit of analysis: Individual level
÷ The Independent Variable: Married Voters
÷ The Dependent Variable: More likely to vote Republican.
Question # 4. The research design that would be used is a cross-sectional design,
which includes:
Single point in time, survey research is a common example, and lack of pretest. Also non-experimental designs can be used to determine the population of females in different regions of the country.
Hypothesis: To categorize the number of female voter turnouts from each region.
÷ Unit of analysis: Individual and or regional level
÷ The independent variable: female voters
÷ The dependent variable: party voters
÷ The control variable: To determine the region of the country in which to study the population of females.
Question #5.
A. Cross-sectional
B. Time Series
C. Case Study
D. Panel Study Design
Question #6.
For the mean, median, and mode see attached pages.
Using the States.sav dataset, I am going to analyze the results of the following:
1. Out of 50 states the average abortion per 1,000 women are 18.06 per state. The mean is appropriate for ratio and interval-levels. When one sums all the case's individual values on a variable, and divides by the number of cases, and then one can arrive at the variable's mean value.
2. Out of...