Determine the test statistic. t= (Round to two decimal places as needed.)

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A college student is interested in whether presoaking time has an effect on cleanliness of clothing.  He collects the dirty clothes from all of the people in his dorm and randomly assigns clothing to one of four presoak time conditions: 5 minutes, 10 minutes, 15 minutes, 20 minutes.  He then asks members of another dorm to rate the cleanliness of the items (they don’t know which clothing got which soaking time).  The data are presented below. C) Perform an LSD test and answer the questions that follow (SHOW ALL WORK!!! This can be on the same page as your other ANOVA hand work. Make sure it is inserted and/or uploaded): df error =   tcrit (df error)   MS error =   s =     LSD = _____________   Mean Comparisons:   Mean5 min vs. Mean10 min = |      ___            __       | = ___ ___              Greater than (>) LSD value? __   ___  Significant?__                   ­___   Mean10 min vs. Mean15 min = |__________________| =   ______             Greater…

I just need the 2 bottom ones (:

Doctors at a technology research facility randomly assigned people to use computer keyboards in two rooms. In one room a group of people typed a manuscript using standard keyboards, while in the other room a second group of people typed the same manuscript using ergonomic keyboards to see if those people could type more words per minute. The table shows the resulting data. Standard Ergonomic Words per Words per minute minute 12 43 38 35 21 35 28 69 18 58 45 52 40 36 42 37 52 38 19 47 24 46 63 58

Use the data table below to answer the questions regarding the relationship between sit-ups (X) and pull-ups (Y). Subject Y 1 20 15 2 15 10 3 34 20 4 18 17 5 23 7 1. Subject X2 Y Y2 XY 1 20 400 15 225 300 2 15 225 10 100 150 3 34 1156 20 400 680 4 18 324 17 289 306 23 529 7 49 161 110 2634 69 1063 1597 5E

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…

Apperson and Fitz is a chain of clothing stores that caters to high school and college students. It publishes a quarterly catalog and operates a Web site that features provocatively attired males and females. The Web site is very expensive to maintain, and company executives are not sure whether the number of hits at the site relate to sales (i.e., people may be looking at the site’s pictures only). The Web master has accumulated the following data for hits per month and orders placed at the Web site for the past 20 months: Develop a linear regression model for these data and indicate whether there appears to be a strong relationship between Web site hits and orders. What would be the forecast for orders with 50,000 hits per month?