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Y Homework Assignment 6: Power 1. Because of your degree in Consumer psychology, Marsha Steward hired you to help turn her Home- Living profits
Y Homework Assignment 6: Power 1. Because of your degree in Consumer psychology, Marsha Steward hired you to help turn her Home- Living profits into stock options because it is a good thing to make even more millions of dollars. You examine the research on how other companies were successful on the stock market and discover that companies that began with an average of $1000 from each investor had stock with an averaged value of $1075 ( = 250) after one week. Given o = a. 1000, 1 = 1075, = 250 Give the Effect Size (symbol & value) for the previously reported studies. b. Is it a small, medium, or large Effect Size (according to Cohen)? C. Because of this Effect Size, you suggest to Ms. Steward that she get as many investors as possible. She manages to find 36 people willing to invest with her. Assume p(a) = .052-tailed i. what is the value for S? ii. What is the value for Power? @ 9 1 of 2 - + Automatic Zoom d. It turns out that people want to be a bit more risk averse in their investing (they want to make sure that it is going to pay off and avoid a Type 1 error). How many investors does Ms. Steward need to increase the Power to a value of .90 assuming that p(a) = .012-tailed? (If your power is precisely in the middle of two values on the table, then it is acceptable to average the values.) 2. Given the following values for & and p(a), what is the Power? For the Power table, it is acceptable to round to the nearest value for 8. If your 8 is precisely in the middle of two values on the table, then it is acceptable to average the Power values from the table. a. 8 = 1.70, p(a) = .052-tailed b. 8 = 3.20, p(a) = .0052-tailed c. 81.32, p(a) = .051-tailed d. 8 = 3.39, p(a) = .012-tailed 3. A clinician is interested in examining the effectiveness of a new treatment approach for depression. Currently. 32 people are in the control group and 32 people are in the intervention group. In similar >>> Goo Abo Early FIVE C O File /Users/kaylynroe/Downloads/Table%20A-5%20Power.pdf ephe > ephe Para Chat The stats N Netf PSY PSY Rec Table EGO Sear Chat G sigm Che + K Relaunch to update : M Gmail YouTube Maps Statistical Tables 2022 1 / 1 - 100% Alpha for One-Tailed Test (a) Table Function of and Significance Laval .05 .025 .01 .005 .0025 .0005 Alpha for Two-Tailed Test (a) .10 .05 .02 .01 .005 .001 1.00 .26 .17 .09 .06 .04 .01 1.10 .29 .19 .11 .07 .04 .01 1.20 .33 .22 .13 .08 .05 .02 1.30 .37 .25 .15 .10 .07 .02 1.40 .40 .29 .18 .12 .08 .03 1 1.50 .44 .32 .20 .14 .10 .04 1.60 .48 .36 .23 .16 .11 .05 1.70 .52 .40 .27 .19 .13 .06 1.80 .56 .44 .30 .22 .16 .07 1.90 .60 .48 .33 .25 .18 .08 2.00 .64 .52 .37 .28 .21 .10 2.10 .68 .56 .41 .32 .24 .12 2.20 .71 .59 .45 .35 .27 .14 2.30 .74 .63 .49 .39 .31 .16 2.40 .77 .67 .53 .43 .34 .19 2.50 .80 .71 .57 .47 .38 .21 2.60 .83 .74 .61 .51 .42 .24 2.70 .85 .77 .65 .55 .46 .28 2.80 .88 .80 .68 .59 .50 .31 2.90 .90 .83 .72 .63 .54 .35 3.00 .91 .85 .75 .66 .58 .39 3.10 .93 .87 .78 .70 .62 .42 3.20 .94 .89 .81 .73 .65 .46 3.30 .95 .91 .83 .77 .69 .50 3.40 .96 .93 .86 .80 .72 .54 3.50 .97 .94 .88 .82 .76 .58 3.60 .97 .95 .90 .85 .79 .62 3.70 .98 .96 .92 .87 .81 .66 3.80 .98 .97 .93 .89 .84 .69 3.90 .99 .97 .94 .91 .86 .73 4.00 .99 .98 .95 .92 .88 .76 4.10 .99 .98 .96 .94 .90 .79 4.20 .99 .99 .97 4.30 .99 .98 4.40 .99 .98 4.50 .99 .99 1.60 00 22229 .95 .92 .82 .96 .93 .84 .97 .94 .87 .97 .95 .89 08 06 90 Goo Abo Early FIVE C O File /Users/kaylynroe/Downloads/Table%20A-5%20Power.pdf ephe > ephe Para Chat The stats N Netf PSY PSY Rec Table EGO Sear Chat G sigm Che + C> * K Relaunch to update : M Gmail YouTube Maps Statistical Tables 2022 1 / 1 - 100% + | 1.70 .52 .40 .27 .19 1.80 .56 .44 .30 Table Function of and Significance Laval 1.90 .60 .48 .33 2.00 .64 .52 .37 2.10 .68 .56 .41 .32 22222 .13 .06 .22 .16 .07 .25 .18 .08 .28 .21 .10 .24 .12 2.20 .71 .59 .45 .35 .27 .14 2.30 .74 .63 .49 .39 .31 .16 2.40 .77 .67 .53 .43 .34 .19 2.50 .80 .71 .57 .47 .38 .21 2.60 .83 .74 .61 .51 .42 .24 1 2.70 .85 .77 .65 .55 .46 .28 2.80 .88 .80 .68 .59 .50 .31 2.90 .90 .83 .72 .63 .54 .35 3.00 .91 .85 .75 .66 .58 .39 3.10 .93 .87 .78 .70 .62 .42 3.20 .94 .89 .81 .73 .65 .46 3.30 .95 .91 .83 .77 .69 .50 3.40 .96 .93 .86 .80 .72 .54 3.50 .97 .94 .88 .82 .76 .58 3.60 .97 .95 .90 .85 .79 .62 3.70 .98 .96 .92 .87 .81 .66 3.80 .98 .97 .93 .89 .84 .69 3.90 .99 .97 .94 .91 .86 .73 4.00 .99 .98 .95 .92 .88 .76 4.10 .99 .98 .96 .94 .90 .79 4.20 .99 .99 .97 .95 .92 .82 4.30 .99 .98 .96 .93 .84 4.40 .99 .98 .97 .94 .87 4.50 .99 .99 .97 .95 .89 4.60 .99 .98 .96 .90 4.70 .99 .98 .97 .92 4.80 4.90 5.00 | | || .99 .99 .98 .93 .99 .99 .98 .95 .99 .99 .96 2022 David A. Medler
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