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(EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) c. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient 88-106 107-125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results. C. Generate table for the descriptive summary of the Entrance Exam Scores when group according to a. Location. b. Type of School c. Intelligence Quotient Analyze the results d. What can you say about the normality of the Entrance Exam Scores when group according to Location, Type of School and Intelligence Quotient? You may generate an interval using Empirical Rule or the Chybeshev's Rule. Do not forget to tell a story about the results.

(EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) c. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient 88-106 107-125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results. C. Generate table for the descriptive summary of the Entrance Exam Scores when group according to a. Location. b. Type of School c. Intelligence Quotient Analyze the results d. What can you say about the normality of the Entrance Exam Scores when group according to Location, Type of School and Intelligence Quotient? You may generate an interval using Empirical Rule or the Chybeshev's Rule. Do not forget to tell a story about the results.

MATLAB: An Introduction with Applications
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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A researcher is trying to determine the factors affecting the Entrance Exam Scores (EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) C. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient 88-106 107 - 125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results. c. Generate table for the descriptive summary of the Entrance Exam Scores when group according to a. Location b. Type of School c. Intelligence Quotient Analyze the results d. What can you say about the normality of the Entrance Exam Scores when group according to Location, Type of School and Intelligence Quotient? You may generate an interval using Empirical Rule or the Chybeshev's Rule. Do not forget to tell a story about the results.
Transcribed Image Text:A researcher is trying to determine the factors affecting the Entrance Exam Scores (EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) C. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient 88-106 107 - 125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results. c. Generate table for the descriptive summary of the Entrance Exam Scores when group according to a. Location b. Type of School c. Intelligence Quotient Analyze the results d. What can you say about the normality of the Entrance Exam Scores when group according to Location, Type of School and Intelligence Quotient? You may generate an interval using Empirical Rule or the Chybeshev's Rule. Do not forget to tell a story about the results.
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