Brief Answer Questions:
[4×2 = 8]Consider the following set of sample data:
| 78 | 121 | 143 | 88 | 110 | 107 | 62 | 122 | 130 | 95 | 78 | 139 | 89 | 125 |
Calculate the lower and upper quartiles.
If the coefficient of skewness is 0.5, first quartile is 8 and third quartile is 16, find the median of the distribution.
A bag contains 20 balls numbered from 1 to 20. A ball is selected at random without replacement, what is the probability of (a) multiple of 3 or 7 (b) multiple of 3 or 4?
A random variable x has the following probability distribution.
| X | 0 | 1 | 2 | 3 | 4 |
| P(x) | 0.22 | 0.18 | 0.35 | 0.15 | 0.10 |
Compute the expected value and variance.
Short Answer Questions:
[4×3=12]Compute the five number summaries from the following data and comment on the shape of the distribution:
| 7 | 11 | 25 | 23 | 19 | 34 | 29 | 31 | 9 | 15 | 30 |
Find the mean and standard deviation from the following data related to age distribution of a class.
| Age (yrs) | 15 | 16 | 17 | 18 | 19 | 20 |
| No of students | 5 | 7 | 12 | 15 | 7 | 4 |
The mean height and variance of height of 500 students were found to be 165 cm and 25 cm² respectively. Find the range of height of middle 80% of the students.
A sample of heights of 6400 Indian has a mean of 67.85 inches with a standard deviation of 2.56 inches, while sample of heights of 1600 British has a mean of 68.55 inches with a standard deviation of 2.52 inches. Do the data indicate that British are on the average taller than Indians at 5% level of significance?
Comprehensive Answer Questions:
[2×8=16]The following table shows the monthly expenditure of people living in village A and village B of a country.
| Expenditure (000 Rs) | 5 | 10 | 15 | 20 | 25 | 30 |
| No. of families in village A | 4 | 14 | 51 | 20 | 10 | 4 |
| No. of families in village B | 8 | 18 | 40 | 18 | 12 | 9 |
Which village people have uniform expenditure on the basis of coefficient of variation?
A random sample of 12 records revealed the following information concerning the number of machines serviced and the time (in minutes) to complete the routine service call:
| No. of machines | 11 | 8 | 9 | 10 | 7 | 6 | 8 | 4 | 10 | 5 | 5 | 12 |
| Service time (minutes) | 115 | 60 | 80 | 90 | 55 | 65 | 70 | 33 | 95 | 50 | 40 | 110 |
a) Calculate coefficient of correlation and interpret.
b) Estimate the regression equation. If there are six machines, how many minutes should expect a routine service call to require?