Relapse prevention is always an effective technique to reduce recidivism amongst clients who commit sex offenses. 

Based on the data in the table below, perform an ANOVA and answer the following questions.What is the average for Brand D? [avgD] (round to 2 decimals)What is the variance for Brand C? [varC] (round to 2 decimals)What is the p-value for this ANOVA? [pval] (note: round to 3 decimals)At an alpha of 0.01, is there a significant difference between at least 2 of the sample means? [sig] (enter yes or no) Brand A Brand B Brand C Brand D 15 19 23 22 18 19 24 25 20 23 25 27 22 25 27 29 21 26 29 35     29 36       37

A weight loss product claims that, after a week of using their product, a person’s weight will go down by more 3 pounds. To test this claim, 6 people are randomly selected who use the weight loss product for a week. Before and after weights are  shown in the table below. Use this data to answer the following questions and to test the claim. Assume alpha=0.02. Before 230 256 168 177 286 215 After 226 252 166 175 278 213 What is the mean of the difference in weight (d-bar)? [dbar] (round to 1 decimal)What is the standard deviation of the difference in weight (s-d)? [sd] (round to 2 decimals)What is the left critical value? [cvL] (round to 2 decimals – enter “na” if there is none)What is the right critical value? [cvR] (round to 2 decimals – enter “na” if there is none)What is the value of the test statistic? [ts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)Is the claim supported? [support] (enter “yes” or “no”)

Various studies are conducted to compare the rates of addiction to prescription drugs across various populations. One such study compares the proportion of Utah vs Arizona residents who are addicted to prescription drugs. Data is collected from 1700 randomly selected Utah residents, and shows that 139 are addicted to prescription drugs. Data collected from 2000 randomly selected Arizona residents indicates that 172 are addicted to prescription drugs. Use this data, assuming alpha=0.20, to answer the following questions and test the claim that the proportion of Utah residents addicted to prescription drugs is the same or greater than the proportion of Arizona residents who are addicted to prescription drugs.The value of p-bar (pooled p) = [pbar] (round to 3 decimals)The left critical value = [left] (round to 2 decimals – if there is no left value, enter “na”)The right critical value = [right] (round to 2 decimals – if there is no right value, enter “na”)The test statistic = [ts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)

A study was done to compare the average repair cost of BMW’s and Toyotas involved in auto accidents. 25 incidents were randomly selected for each brand. BMW repair costs averaged $4,598 with a standard deviation of $1,824. Toyota repair costs averaged $4,023 with a standard deviation of $2,056. Use this information to answer the following questions and test the claim that the average repair cost for BMW’s is the same as it is for Toyotas. Use alpha=0.02.The left critical value = [left] (round to 2 decimals – if there is no left value, enter “na”)The right critical value = [right] (round to 2 decimals – if there is no right value, enter “na”)The test statistic = [ts] (round to 2 decimals)The result of the hypothesis test is [result] (enter “reject H0” or “fail to reject H0”)Is the claim supported? [support] (enter “yes” or “no”)

To test the volatility of two stocks (ABC Company and XYZ Company), a researcher collects data on stock prices for each company over the last 30 days. Data shows the variance (s^2) in stock price for ABC is $39.18, and for XYZ Company the variance is $19.34. Use this information to test the claim that the variance in ABC is the same as the variance in XYZ stock. Assume an alpha of 0.02.(Hint: make sure you designate the sample with the larger variance as sample1 and the other as sample2 in your calculations. Also, we are always only interested in the right F critical value)What is the right F critical value? [Fcv] (round to 2 decimals)What is the value of the F test statistic? [Fts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)Is the hypothesis supported? [support] (enter “yes” or “no”)

The lifetime prevalence of APD in the prison system is less than that of the general population. 

The following data shows the results from trying to teach various tricks/commands (i.e., Sit, Shake, Roll Over) to young dogs (i.e., “Puppy”) and older dogs (i.e., “Old Dog”). The numbers represent how much training it takes (i.e., how many times the command must be repeated) before the dog is able to do the trick on command. Perform the appropriate ANOVA and answer the following questions.Does the analysis consider a possible interaction between the factors (i.e., the age of the dog and the type of trick) that needs to be examined? [inter] (enter yes or no)If so, what is the p-value associated with the interaction? [pint] (round to 3 decimals)Is the interaction statistically significant at alpha=0.05? [intsig] (enter yes or no)What is the is the p-value for the difference between puppies and old dogs in the average training required to learn a trick? [pcorn] (round to 3 decimals)At an alpha of 0.05, can we say the difference between puppies and older dogs is meaningful and significant? [sigage] (enter yes, no, or na if the question cannot be answered)What is the p-value for the difference between the type of tricks? [pplot] (round to 3 decimals)At an alpha of 0.05, can we say the difference in the average required training between the various tricks is meaningful and significant? [sigtrick] (enter yes, no, or na if the question cannot be answered) RollOver Shake Sit Puppy 2 4 6 Puppy 1 5 9 Puppy 3 4 7 Puppy 1 6 8 Puppy 2 7 10 Old Dog 2 9 13 Old Dog 5 10 12 Old Dog 2 11 15 Old Dog 4 13 17 Old Dog 3 7 13

Tests of the flammability of children’s sleepwear were conducted independently by three different labs. Results are shown in the table below. Perform an ANOVA and answer the following questions.What is the average flammability rating reported by Lab#2? [avglab2] (round to 2 decimals)What is the variance in flammability rating for Lab#1? [varlab1] (round to 2 decimals)What is the p-value for this ANOVA? [pval] (note: round to 3 decimals)At an alpha of 0.05, is there a significant difference in the mean of flammability between the labs? [sig] (enter yes or no) Lab#1 Lab#2 Lab#3 2.5 4.3 3.0 3.0 3.4 3.2 2.9 4.1 2.4 3.0 3.4 3.3 2.8 3.7 2.2 2.6 4.1 2.6 2.6 3.5 1.9 2.6 3.9   3.7 3.4   3.3    

A thorough psychiatric examination is the most widely used technique to obtain information about the client, and it should be the first step of treatment.