Part I – Specific questions – You Must Only Answer five (5) of the following six (6) questions: (10 points each – Total: 5 0 points)

1. (Frequency distribution - Excel or SPSS : Analysis – 5 points, Interpretation – 5 points ). The Rosamund City Clerk has received numerous complaints over the last year that couples applying for a marriage license have to wait too long to receive one. Although the clerk is skeptical (couples applying for a license are usually young and impatient), she pulls a representative sample of marriage licenses issued in the past year. Because a machine stamps each license application with the time the application is received and the time it is issued, she can tell how long the young (and old) lovers had to wait for the marriage license. The clerk considers service received in less than 10 minutes good and service received in less than 15 minutes acceptable. Her tabulation of license data shows the following:

   Minutes waited for marriage license	Number of couples
   Less than 5	28
   5-9	36
   10-14	60
   15-19	82
   20-24	44
   25-29	39

   
   Prepare the percentage distribution for the marriage license data and the appropriate graphical displays. Write a short memorandum explaining the results and addressing the issue of whether couples have to wait too long for marriage licenses.
2. (Central tendency and dispersion - Analysis – 5 points, Interpretation – 5 points ) A researcher wishes to determine the recommendations that local, state, and federal emergency managers would make for improving federal emergency management. Using the IAEM-NEMA Survey (Federal) survey, use the appropriate measures of central tendency and dispersion to rank the various improvement strategies (Responsibility Military to Priority Homeland Security). Write a short paragraph making the appropriate recommendations to the FEMA Administrator (by name).
3. (Normal curve – Analysis , 10 points ) A researcher for the Federal Emergency Management Agency has been examining the state per capita income distribution (PerCapitaIncome2006) for all disaster requests (adjusted for inflation) between 1953 and 2005. Using SPSS, he produces a per capita income histogram (with normal curve). The histogram generates a mean and standard deviation. Using this information, answer the following questions using the normal curve calculations:
   1. What percentage of disaster requests has state per capita incomes less than $10,000?
   2. What percentage of disaster requests has state per capita incomes between $10,000 and $20,000?
   3. What percentage of disaster requests has state per capita incomes of $30,000 or higher?
   4. What percentage of disaster requests has state per capita incomes between $30,000 and $40,000?
   5. What percentage of disaster requests has state per capita incomes of less than $10,000 or more than $40,000 (SPSS and Excel: Analysis – 10 points)?
4. (One-sample t-test – Design, 3; Analysis , 3; and Interpretation , 4 ) In 1954, the movie, The Conqueror , was shot near St. George, Utah. The cast included John Wayne (as Genghis Khan!), Susan Hayward, Agnes Moorehead, and Pedro Armendariz. The movie was directed by Dick Powell. The Snow Canyon locations were 135 miles southeast of the Nevada nuclear test site. Much fallout accumulated in the canyons and flats around the town. The movie crew simulated dust storms with fans and brought soil back with them to Hollywood to do final shooting. Between 1954 and 1984, 91 of the 220 members (41.4% with a standard deviation of 49.4%) of the cast and crew (including Wayne, Hayward, Moorehead, Armendariz, and Powell) contracted cancer and half of them died. The percentage of the adult population that might be expected to contract cancer over a 30-year period is at most 28 percent. Using a one-sample t-test (slide 29 of lecture 6), determine whether the percentage of the crew who actually contracted cancer is sufficiently large not to be a random accident. What conclusions would you draw? (SPSS).
5. (Cross-tabulation – Design, 3; Analysis, 3; and Interpretation, 4 ) Examine the following cross-tabulation and answer the questions listed below:

χ ² = 418.11, p < .001; Gamma = 0.447 (Z=17.358, p<.001); Kendall’s tau-b = 0.280.

Note: The unit of analysis is the individual governor’s disaster request to the President of the United States .

1. What is the research question implied by this table? ( Design)
2. What is the null hypothesis? What is the research hypothesis? (Design)
3. What are the independent (cause) and dependent (effect) variables? (Design)
4. What data collection technique appears to have been used to collect this information? (Analysis)
5. What data analysis techniques were used to analyze the data? (Analysis)
6. How would you interpret the results? What story is the table telling? How would you explain what the table means to someone else? (Interpretation)

Part II – General question (Total: 50 points)

1. A researcher for the Bureau of Justice Statistics conducting research on firearms deaths in the United States believes that several factors explain the variation in death rates by firearms across the 50 American states (the death rates are per 1,000,000 population). Despite the intense debate over gun rights in the United States, she believes that states with stricter gun control rules have lower firearms death rates. However, she also believes that states whose citizens are more liberal and whose elected office holders are more liberal will also have lower firearms death rates. Since liberal states are more likely to have gun control rules, this may negate the effect of rules on death rates. Finally, she believes population size and density of population have some impact on firearms death rates (larger and denser populations generate more anxiety, which generates more firearms deaths). She collects data from the Bureau of Justice Statistics and the National Center for Injury Prevention and Control (CDC). Amazingly, she creates a dataset identical to the Kaur Gun Control Database. Using regression or contingency tables, examine the impact of the number of gun control rules (out of 12), citizen ideology (liberalism), government ideology (elected official liberalism), population, and population density per square mile on firearms death rates. If you run regressions, use the variables with rulers next to them in the dataset. If you run contingency tables, use the variables with stacked bars next to them.

Write a one-page memorandum to the U.S. Attorney General (by name) outlining your findings. The text of the memo may not exceed one page, single-spaced, double-spaced between paragraphs. Tables and graphs do not count in the page count; however, only include sufficient graphic and table information to make your case and no more.

Price: $40.53

Solution: The downloadable solution consists of 21 pages, 1953 words and 7 charts.
Deliverable: Word Document