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2. Compute and interpret r for the following data given: a. age of a person, in years Weight, in kg b. age of a car, in years Mileage, in km/liter C. No. of hours spent in safety training No. of hours lost due to accidents 11 40 12 13 14 15 16 42 38 35 45 51 0.5 1 16 1.5 2 3 4 10 12 15 10 12 19 20 30 100 90 85 60 17 48 18 48 19 20 50 47 4.5 5 6 7 11 10 11 8 40 50 60 70 80 90 100 110 80 50 30 30 20 10

2. Compute and interpret r for the following data given: a. age of a person, in years Weight, in kg b. age of a car, in years Mileage, in km/liter C. No. of hours spent in safety training No. of hours lost due to accidents 11 40 12 13 14 15 16 42 38 35 45 51 0.5 1 16 1.5 2 3 4 10 12 15 10 12 19 20 30 100 90 85 60 17 48 18 48 19 20 50 47 4.5 5 6 7 11 10 11 8 40 50 60 70 80 90 100 110 80 50 30 30 20 10

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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Answer the following: STATISTICS AND PROBABILITY Week 5 1. Computer for each of the following: a. Ex = 225; Σy = 225; Σx2 = 9653; Σy = 143; Σxy = 651 ; n = 6 b. Σx = 32; Σy = 1105; Σx2 = 220; Σy? = 364525; Σxy = 3402; n = 6 c. Ex = 180; Σy = 147; Ex2 = 6914; Ey2 = 5273; Σxy = 4013 ; n = 7 2. Compute and interpret r for the following data given: a. age of a person, in years Weight, in kg b. age of a car, in years Mileage, in km/liter C. No. of hours spent in safety training No. of hours lost due to accidents 11 12 13 14 15 40 42 38 35 45 0.5 1 1.5 2 3 15 10 12 16 10 20 30 40 50 100 90 85 60 16 51 4 Month Number of theft cases 6 15 30 12 20 9 2 Number of vandalism cases 3 6 15 5 5 7 0 What conclusion can be derived from the study? 12 5. What is the difference Exy and x.y? 6. What is the difference between Σx² and (x)²? 17 18 19 20 48 48 50 47 4.5 5 6 7 11 10 11 8 60 70 80 90 100 110 80 50 30 30 20 10 3. A group of research students wants to determine whether there is a correlation between the number of theft cases x and the number of vandalism cases y incurred in their school. Data for one school year show the following: Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar 10 11 28 21 4 12 4. The following are the heights of a father and his eldest son, in inches: Height of the father 71 69 67 68 68 66 70 72 65 60 71 69 69 65 66 63 68 70 60 58 Height of the son Do the data support the hypothesis that height is hereditary? Explain. Accompany your explanation with statistical computations.
Transcribed Image Text:Answer the following: STATISTICS AND PROBABILITY Week 5 1. Computer for each of the following: a. Ex = 225; Σy = 225; Σx2 = 9653; Σy = 143; Σxy = 651 ; n = 6 b. Σx = 32; Σy = 1105; Σx2 = 220; Σy? = 364525; Σxy = 3402; n = 6 c. Ex = 180; Σy = 147; Ex2 = 6914; Ey2 = 5273; Σxy = 4013 ; n = 7 2. Compute and interpret r for the following data given: a. age of a person, in years Weight, in kg b. age of a car, in years Mileage, in km/liter C. No. of hours spent in safety training No. of hours lost due to accidents 11 12 13 14 15 40 42 38 35 45 0.5 1 1.5 2 3 15 10 12 16 10 20 30 40 50 100 90 85 60 16 51 4 Month Number of theft cases 6 15 30 12 20 9 2 Number of vandalism cases 3 6 15 5 5 7 0 What conclusion can be derived from the study? 12 5. What is the difference Exy and x.y? 6. What is the difference between Σx² and (x)²? 17 18 19 20 48 48 50 47 4.5 5 6 7 11 10 11 8 60 70 80 90 100 110 80 50 30 30 20 10 3. A group of research students wants to determine whether there is a correlation between the number of theft cases x and the number of vandalism cases y incurred in their school. Data for one school year show the following: Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar 10 11 28 21 4 12 4. The following are the heights of a father and his eldest son, in inches: Height of the father 71 69 67 68 68 66 70 72 65 60 71 69 69 65 66 63 68 70 60 58 Height of the son Do the data support the hypothesis that height is hereditary? Explain. Accompany your explanation with statistical computations.
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