Use the following article to answer the questions: Make sure to explain thouroghly and back up your answer.
Question 1: Remember the PPDAC cycle from the first week of class. Briefly (1 sentence) identify each of the following for this report:
Problem:
Plan:
Data:
Analysis:
Conclusion:
Question 2: Which age range was most frequent among the sample of offenders? Which age range had the greatest rate of felony recidivism? Those with two or more felony convictions appear to have disproportionately greater rates of recidivism. Provide at least two pieces of evidence from the report to support this statement.
Question 3: Did the risk categories discriminate among offenders in terms of risk of recidivism? What evidence supports this claim?
Question 4: Consider the percentages in Figure 1 as equivalent to proportions. Use 95% confidence intervals to estimate the population felony recidivism rate for those in the high violent category and those in the moderate category. Interpret these intervals. Do the confidence intervals overlap? If so, what does this imply about differences in population felony recidivism rates of offenders in these two categories?
Question 5: What percentage increase (not percentage point increase) is there between the percentage of those who had any violent felony arrest recidivism and were assigned to the low risk category and those who had any violent felony arrest recidivism and were assigned to the high violent risk category. Do you think that it is a problem that 10.4% of those assigned to the low category were arrested for a violent felony re-offense? Why or why not?
Question 6: Recall from Chapter 4, where we talked about the receiver-operator curve, that the AUC, or area under the curve, is an indicator of the accuracy of a test or tool. AUC's at 50% have chance accuracy and AUC's below 50% have worse than chance accuracy (which is pretty bad). What is the accuracy (e.g., predictive strength) of the CSRA (refer to the validation sample)? How good is this accuracy, according to the criteria presented in the report? How does this tool compare to other risk assessment measures in terms of accuracy?
Part 2:
DATA WILL BE ATTACHED IN FILES:
- Use Data 9.86 to carry out a one-sample z-test in Excel at 5% significance. These data represent the age of diagnosis of a sample of people with early-onset dementia. Assume that the sample standard deviation is 6.8. Determine whether the population mean age of diagnosis of people with early-onset dementia is less than 55 years old.
(Make sure to include all steps of the hypothesis test in your answer in addition to including the screen shots). That is, be sure to state the null and alternative hypotheses, the value of alpha (significance level), the p-value of z, your decision about the null hypothesis, and the interpretation of your decision). - Question 2
Question 2
Problem 13 in your book (p. 329) states:
Based on information from the National Cyber Security Alliance, 93% of computer owners believe that they have antivirus programs installed on their computers. In a random sample of 400 scanned computers, it is found that 380 of them (or 95%) actually have antivirus programs. Carry out a one-proportion z-test (at the 5% significance level) in Excel to test the claim that 93% of computers have antivirus programs.
(Make sure to include all steps of the hypothesis test in your answer in addition to the screen shots).Text Editor - Question 3
Question 3
Using Problem 13 again, carry out a one-proportion z-test in SPSS. You do not need to repeat all of the information about the hypothesis test here.