Quiz_11_Key - QUIz11 X PSY204 Spring 2001 GE:1 NAME 7 5 l 7...

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Unformatted text preview: /____ _ QUIz11 X PSY204 Spring 2001 GE / :1 NAME 7' 5- __ l 7 1. A cereal manufacturer wants to know if package style affects sales in Miami. He packages the same cereal in 5 different style boxes and puts supplies of all 5 packages side by side on the shelves of several big stores in the area. He then counts how many sell In a 3 day period. Assuming that each customer purchased only one box what can he conclude about the 5 styles? , \\ Package Style ' professor of education is troubled by the belief that males are less likely to finish school than are females She collects data from a representative sample of students who enrolled at her University in 1992 to examine the relationship between gender and graduation. To be safe she checks graduation rates 8 years after these students enrolled as new freshmen. /’/M W“\ MALE Graduated aw . Not Graduated fragffi Quin" fear 3 For smal X2 d Igns (1X2 or 2X2) the minimum expected value in each cell should be 4- Chl square PFODIGWe means. What is the data that goes into each cell? Qéfggéflié 5. What scale of measurement is appr rate for the variable or variables in a chi square Problem? AU l/Fsgéwé? 7:1) s :srs/f gas/fig, ‘ 5:; fishy/v5; fist» ss ’15:. {sisswis’s , Two- Way ANOVA A track coach for an amateur running club thinks that his taller runners are usually faster, but he is not sure that this is true equally for men and women so he conducts the following 2X2 factorial 2-way ANOVA. The dependent variable is the time it takes to run a mile. Write your conclusion about his study below the graph. (Be careful because a shorter time obviously means those subjects were faster) Descriptive Statistics Dependent Variable: min. to run a mile ender . short male Mean 7.2200 5.9000 6.2300 Std. Deviation .2168 .7982 .9073 N 5 15 20 female Mean 7.6500 6.4500 7.2900 Std. Deviation .6406 .4324 .8052 N 14 6 20 Total Mean 7.5368 6.0571 6.7600 Std. Deviation .5871 .7467 1.0025 N 19 21 40 Tests of Between—Subjects Effects Dependent Variable: min. to run a mile Type III Sum of S-uares df W3 GBDER ~ 1.903 HEIGHT 12.581 12.581 29.452 GENDER‘HEIGHT 2.853E-02 2.853E—02 .067 Error 15.378 .427 Total 1867.100 Corrected Total 39.196 a. R Squared = .608 (Adjusted R Squared = .575) Profile Plots Mean minutes to run a mile l-r' ' 6/0/12 (flu/27* W/dp L— 3) 774sz A flyo_'//1/WC7200 [gafiNC/‘v/ ééA/DJZ/L [CM/O H2717— ...
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