QI: From the following distribution tables Compute the coefficient of variation (С.V.). Ex: 1 Class 1-5 5 - 9 9– 13 13 - 17 17- 21 | 21 - 25 25 - 29 F 5 7 9 12 7 6 4 Ex: 2 Class 2 – 6 7- 11 12 - 16 17 - 21 22 - 26 27-31 F 6. 10 12 18 3 1

MATLAB: An Introduction with Applications
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Q1: From the following distribution tables Compute the coefficient of variation
(С.V.).
Ex: 1
Class
1-5
5-9
9 – 13
13 - 17
17 - 21
21 - 25
25 - 29
7
9
12
4
Ex: 2
Class
2 – 6
7- 11
12 - 16
17 - 21
22 - 26
27 - 31
F
6.
10
12
18
3
1
Q2: From the following data Compute :
a) The coefficient of variation (C.V.).
b) Skewness and Kurtosis
Ex: 1
10
4
8
10
12
14
16
Ex: 2
1
7
9 5
11
13
16
Q3: From the following data:
X
5
6
4
3
y
4
8
1) Draw scatter plot.
2) Determine the regression line y = a + b x.
3) Predict the value of y for the value of x= 4.6.
4) Calculate the correlation coefficient.
Q4 A quality control inspector is checking a sample of light bulbs for defe
following table summarizes her findings. (Write your answer as a reduced fraction.)
Transcribed Image Text:Q1: From the following distribution tables Compute the coefficient of variation (С.V.). Ex: 1 Class 1-5 5-9 9 – 13 13 - 17 17 - 21 21 - 25 25 - 29 7 9 12 4 Ex: 2 Class 2 – 6 7- 11 12 - 16 17 - 21 22 - 26 27 - 31 F 6. 10 12 18 3 1 Q2: From the following data Compute : a) The coefficient of variation (C.V.). b) Skewness and Kurtosis Ex: 1 10 4 8 10 12 14 16 Ex: 2 1 7 9 5 11 13 16 Q3: From the following data: X 5 6 4 3 y 4 8 1) Draw scatter plot. 2) Determine the regression line y = a + b x. 3) Predict the value of y for the value of x= 4.6. 4) Calculate the correlation coefficient. Q4 A quality control inspector is checking a sample of light bulbs for defe following table summarizes her findings. (Write your answer as a reduced fraction.)
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