1) For the Following Question:
a. State your research and null hypotheses.
b. Select your alpha level and briefly explain why you selected this level.
c. State your confidence level and explain why you chose this level.
2. State the type of data that you will use in your study, the title of your data, and how you will collect your data.
3. Code and Develop a data dictionary in SPSS for the data that you have collected.
4. Answer the following questions about your study population:
a. What is your study population? E.g. Registered Voters
b. What is the population Total
c. Based on the size of your total population, what should your sample size be?
d. How many people should you include in your sample to achieve your target sample size?
Part II – Analyzing Your Data
5. Conduct Univariate Analyses for Each Variable:
a. Construct Frequency Distributions for Each Variable
b. Calculate the mean, median, mode, range, standard deviations, minimum, maximum, range, etc., for all variables. If these measures are not applicable for a particular variable, explain why.
c. Produce a graph for any combination of your variables in any graphical format – bar, line, histogram, pie chart, etc.
d. Explain your findings.
6. Referring back to your hypotheses:
a. Which variables will you conduct a chi-square on? Explain.
b. Which variables will you conduct a t-test on? Explain.
c. What are the degrees of freedom for each?
d. Calculate the chi-square, t-test, or both (if both is possible).
e. Choose one demographic variable in your study. Give the mean for each and report the range of the 95% confidence interval for each (what two numbers does a 95% confidence level interval fall between?). For example, in using gender, what is the mean for males and females (separately); and what are the range of the confidence levels for each?
7. Using SPSS, perform both a bivariate regression analysis and a multivariate regression analysis.
a. Obtain the R-squared
b. Which variables have the strongest relationship?
c. Which variables have the weakest relationship?
d. Which variable could you have included that would have made your model stronger? Explain.
8. Based on the multiple significance tests that you have performed along with your regression analyses, did you accept or reject your null hypotheses? Explain for each hypothesis. How would you interpret each of these findings (what do these findings mean to the average citizen?)?
