UNIT-I
1. Answer any two of the following questions: 2 x 2 = 4
(a) What is median? Mention one use of median.Median is the middle value of a dataset when arranged in ascending or descending order, dividing the data into two equal parts.
Use: It is used as a measure of central tendency when the data contains extreme values (outliers) as it is not affected by them.
(b) Mention two relative measures of dispersion.
(c) Write two demerits of mean.
2. (a) (i) Find mean, median and mode from the following data: 4 + 4 + 2 = 10
| Marks (x) | f | m (Mid-point) | f*m | cf |
|---|---|---|---|---|
| 130-134 | 5 | 132 | 660 | 5 |
| 135-139 | 15 | 137 | 2055 | 20 |
| 140-144 | 28 | 142 | 3976 | 48 |
| 145-149 | 24 | 147 | 3528 | 72 |
| 150-154 | 17 | 152 | 2584 | 89 |
| 155-159 | 10 | 147 | 1570 | 99 |
| 160-164 | 1 | 162 | 162 | 100 |
| Total | N=100 | Σfm=14535 |
Mean (X̄): Σfm / N = 14535 / 100 = 145.35
Median: N/2 = 50. Median class is 145-149.
Median = L + [(N/2 - cf)/f] * i = 144.5 + [(50 - 48)/24] * 5 = 144.5 + 0.416 = 144.92
Mode: Modal class is 140-144 (highest frequency).
Mode = L + [(f1 - f0)/(2f1 - f0 - f2)] * i = 139.5 + [(28 - 15)/(56 - 15 - 24)] * 5 = 139.5 + 3.82 = 143.32
2. (a) (ii) Mention two uses of measures of location. 2
UNIT-II
3. Answer any two of the following questions: 2 x 2 = 4
(a) What is random experiment?
An experiment is called random if its outcome cannot be predicted with certainty, even though all possible outcomes are known in advance.
(b) Distinguish between independent and dependent events.
4. (a) (ii) Probability of tossing a die. 4
Sample space S = {1, 2, 3, 4, 5, 6}. Total outcomes = 6.
UNIT-III
5. Answer any two of the following questions: 2 x 2 = 4
(a) Define random variable.
A random variable is a real-valued function defined over the sample space of a random experiment.
(b) Mention two properties of binomial distribution.
6. (a) Discuss the properties of normal distribution. 10
UNIT-IV
7. Answer any two of the following questions: 2 x 2 = 4
(a) Distinguish between population and sample.
Population is the entire group you want to draw conclusions about, while a sample is the specific group you collect data from.
(c) What is sampling distribution?
It is the probability distribution of a given statistic (like the mean) based on a random sample.
8. (b) (ii) Standard Error calculation. 3
Given: N = 41, n = 5, σ = 6.25. (Sampling without replacement)
SE = (σ / √n) * √[(N - n) / (N - 1)]
SE = (6.25 / √5) * √[(41 - 5) / (41 - 1)] = (6.25 / 2.236) * √(36/40) = 2.795 * 0.948 = 2.65
UNIT-V
9. Answer any two of the following questions: 2 x 2 = 4
(a) What is statistical hypothesis?
It is an assumption or claim about a population parameter which may or may not be true and is tested using sample data.
(b) Distinguish between Type I error and Type II error.