1. Students in an AP Statistics class participated in an online memory game. All of the students first played the game at Level 1 (the lowest difficulty level), and then played the game again at Level 4 (a higher level of difficulty). The graphs below display the distribution of student scores for the two difficulty levels -- Level 1 and Level 4. 200 400 600 800 1000 1200 Score (a) Use the graphical display above to compare the distribution of student scores for the two difficulty levels (Level 1 and Level 4) of the memory game. Level_4 Level_1

I just need the 2 bottom ones (:

A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week.  Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9   Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…

Overweight or obese adults from psychiatric programs were recruited and randomly assigned to a treatment group or control group. Patients in the treatment group received both weight-management sessions plus exercise sessions plus their usual care. Patients in the control group received their usual treatment for mental illness and no additional treatment. After 18 months, some of the patients had lost 5% or more of their weight, and some had not. The table summarizes the data. Complete parts (a) and (b) below. Treatment Group Control Group Lost 5% or more 46 29 Did not lose 5% or more 88 106 ..... (a) Find the percentage of each group that lost 5% or more, and compare them descriptively. That is, report both percentages, and indicate what these sample percentages suggest about the effectiveness of the treatment program. Of the treatment group,% of them lost 5% or more. (Round to one decimal place as needed.) Of the control group, % of them lost 5% or more. (Round to one decimal place as…

The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 8.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 13.50 9.25 11.00 12.00 14.00 17.00 18.00 4.25 4.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 14.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = MX-ray-Multrasound. Round your answers to three decimal places.) × % Interpret the interval in context. O There is a 95% chance that the true mean body fat percentage…

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You are given the following data, where X1X1 (final percentage in math class) and X2X2 (number of absences) are used to predict YY (standardized math test score in fifth grade):  YY X1X1 X2X2 375 88 3 480 98 0 310 61 5 450 89 1 345 70 3 410 72 1 465 92 2 350 70 3 370 75 4 390 80 1 420 80 2 350 78 3 415 95 2 Determine the following multiple regression values.Report intercept and slopes for regression equation accurate to 3 decimal places:     Intercept:   a=      Partial slope X1X1:   b1=      Partial slope X2X2:   b2=  Report sum of squares accurate to 3 decimal places:      SSreg=      SSTotal= Test the significance of the overall regression model (report F-ratio accurate to 3 decimal places and P-value accurate to 4 decimal places):     F-ratio =      P-value = Report the variance of the residuals accurate to 3 decimal places:     MSres= Report the results for the hypothesis test for the significance of the partial slope for number of absences…