2. Do police officers who scored well on an aptitude test make better police officers? Use the following crosstabulation to do a chi-square test, and also calculate Gamma. What do the results tell us about the ability of the test to predict successful policing? Officer Aptitude Test Scores Officer Effectiveness Low Medium High Totals Rating Low 12 6 7 25 Moderate 9 11 9. 29 High 9 10 24 Totals 26 26 26 78

2. Do police officers who scored well on an aptitude test make better police officers? Use the following crosstabulation to do a chi-square test, and also calculate Gamma. What do the results tell us about the ability of the test to predict successful policing? Officer Aptitude Test Scores Officer Effectiveness Low Medium High Totals Rating Low 12 6 7 25 Moderate 9 11 9. 29 High 9 10 24 Totals 26 26 26 78

Name: 2. Do police officers who scored well on an aptitude test make better
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Description: 2. Do police officers who scored well on an aptitude test make better police officers? Use the followingcrosstabulation to do a chi-square test, and also calculate Gamma. What do the results tell us about theability of the test to predict successful

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Among the variables high school percentile, ACT English score, ACT math score, and ACT composite score, identify the one that appears to be the best predictor of cumulative GPA. Explain your reasoning. HSP GPA ENGLISH MATH COMP 75 2.39 24 28 26 63 3.37 21 23 24 77 2.63 16 25 21 66 2.77 16 19 19 86 3.79 29 28 32 96 3.34 23 26 23 64 2.81 13 14 17 78 3.09 18 23 22 63 1.91 22 18 20 51 2.61 19 22 20 65 3.17 17 23 18 94 3.79 26 26 26 54 3.14 23 24 24 76 2.21 23 24 23 71 3.12 21 18 21 74 3.42 33 27 29 80 3.25 24 20 22 55 2.34 25 25 24 61 2.76 21 21 23 66 1.95 22 26 23 89 2.59 22 22 24 90 3.58 27 28 26 86 2.67 24 28 26 43 2.1 17 25 22 82 3.1 19 18 19 47 2.78 23 25 23 92 3.76 21 28 23 57 3.33 27 21 23 90 3.28 32 26 28 55 2.33 24 18 21 56 2.45 23 21 22 67 3.56 24 20 23 96 3.13 29 30 26 63 4 32 25 31 83 3.17 23 25 24 61 3.03 19 25 21 79 2.82 19 25 21 60 2.89 16 20 19 79 3.66 25 32 29 62 2.43 17 18 19 91 3.07 26…
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
Determine which statistic you would use. 1. A psychologist studied if cognitive intelligence was associated with emotional intelligence in50 people. Cognitive intelligence was measured by averaging each person’s scores on tests ofvocabulary and visual problem solving. Emotional intelligence was measured by theparticipant’s score for accurately describing the moment-by-moment emotional reactionsof three people in a filmed interaction 2. A psychologist is interested in whether exercise increases the intensity of REM sleep in adults in three age groups (younger, middle age, older) She obtains 40 people in each age group and randomly assigns half of them to daily exercise or not in a 2 (exercise vs. not) X 3 (age group) design • REM sleep is measured by rating the vividness of dreams recorded in daily dream diaries collected for one week– Bland dreams = 1; very vivid dreams = 5 3. A psychologist believes physical experiences influence perception, such that a hill will appear steeper if…
Use the following information to answer the next three exercises. 1; 1; 2; 3; 4; 4; 5 ; 5; 6; 7; 7; 8; 9 39. What is the first quartile for this data? 40. What is the third quartile for this data? Use the following information to answer the next four exercises. This box plot represents scores on the final exam for a physics class.
ASK YOUR TEACHER The superintendent of a school district wants to determine if there is a statistically significant correlation between expenditures and test scores. She finds the top 10 Sonoma County school districts, ranked by spending, and the test scores shown in the table. Top 10 Sonoma County School Districts by Spending f dollars District Expenditure Test Score (API) Horicon $20,136 676 Fort Ross 17,123 767 Montgomery 16,539 844 Monte Fio 14,280 872 Kenwood 13,248 871 Geyserville 12,499 776 Alexander Valley 11,640 894 Harmony 11,353 863 Two Rock 10,406 866 Roseland 10,059 779 What is the correlation between the expenditure (x) and the test score (y)? (Round your answer to four decimal places.) r = Is this correlation significant at either the 5% or the 1% significance level? Yes, there is a correlation. It is significant at the 1% level. Yes, there is a correlation. It is significant at the 5% level. O No, there is no significant correlation. Need Help? Reid it Additional…
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grade 12 data management. question : What is the weighted average score for Larry?
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows. Occupied Rooms Total Rooms Ho: P₁ P₂ #0 Ha: P1 - P2 = 0 Current Year Previous Year Ho: P1 - P2 = 0 Ha: P₁ P₂ #0 Ho: P₁ Ha: P₁ (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p₁ rooms occupied for current year and = P2 population proportion of rooms occupied for previous year.) - Ho: P₁ Ha: P₁ P₂ 0 1,750 1,440 1,800 = population proportion of