11-10-2011, 09:59 PM
Deadline
Your Assignment must be uploaded/ submitted before or on
23:59 17th Nov, 2011
Assignment.2 (Lessons 11-16)
Question 1: Marks: 5+5=10
a. Top ten students in MCS class in VU have following marks division in a CS paper.
89, 90, 85, 88, 83, 79, 95, 93, 81, 80
Calculate the fraction of data falling in the limits , and .
b. For a certain data, Mean = 4, Median = 3 and Standard Deviation = 2.Find Pearson’s coefficient of skewness by using mode and interpret the results.
Question 2: Marks: 5+5=10
a. First four moments about zero are given below
Find the coefficient of skewness and kurtosis.
b. For a certain data, we have following information
Calculate percentile coefficient of kurtosis and interpret the result.
Question 3: Marks: =2.5 5=10
Ages and weights of Lahore city are given in the following table
Ages (X) 17.5 18.2 19.5 21 25 26 28 30 35 40 50
Weights (Y) 35 37 39 35 55 49 74 60 80 60 55
Calculate
i. Simple regression line age on weight.
ii. Standard error of estimate for this line.
iii. By using the line, estimate the value of weights at the age of 55.
iv. Check, is there significant relation between ages and weights?
Your Assignment must be uploaded/ submitted before or on
23:59 17th Nov, 2011
Assignment.2 (Lessons 11-16)
Question 1: Marks: 5+5=10
a. Top ten students in MCS class in VU have following marks division in a CS paper.
89, 90, 85, 88, 83, 79, 95, 93, 81, 80
Calculate the fraction of data falling in the limits , and .
b. For a certain data, Mean = 4, Median = 3 and Standard Deviation = 2.Find Pearson’s coefficient of skewness by using mode and interpret the results.
Question 2: Marks: 5+5=10
a. First four moments about zero are given below
Find the coefficient of skewness and kurtosis.
b. For a certain data, we have following information
Calculate percentile coefficient of kurtosis and interpret the result.
Question 3: Marks: =2.5 5=10
Ages and weights of Lahore city are given in the following table
Ages (X) 17.5 18.2 19.5 21 25 26 28 30 35 40 50
Weights (Y) 35 37 39 35 55 49 74 60 80 60 55
Calculate
i. Simple regression line age on weight.
ii. Standard error of estimate for this line.
iii. By using the line, estimate the value of weights at the age of 55.
iv. Check, is there significant relation between ages and weights?
0300-9520262
Get solution in 24 hour |cpmputer & internet
mileys81:[SIZE="4"][SIZE="3"]....[/SIZE][/SIZE]