Distinguish between descriptive and inferential statistics. The following table represents the mark obtained by a batch of 10 students in a certain class tests in Basic Statistics and Computer science.
| Marks in Basic Statistics | 53 | 55 | 52 | 32 | 30 | 60 | 47 | 46 | 35 | 58 |
| Marks in Computer science | 57 | 45 | 24 | 31 | 25 | 84 | 43 | 80 | 32 | 72 |
Indicate in which subject is the level of more consistency?
Define regression. From the following table, compute the line of regression for estimating blood pressure:
| Blood pressure Y | 147 | 125 | 160 | 118 | 149 | 128 |
| Age in years X | 56 | 42 | 72 | 36 | 63 | 47 |
(i) Fit a regression equation that best describe the above data.
(ii) Estimate the blood pressure when age is 50 yrs.
(iii) Interpret the regression coefficient.
Under which situation Normal distribution will be used. The annual salaries of employees in a large company are approximately normally distributed with a mean of $50,000 and a standard deviation of $20,000.
(a) What is the probability of people earns less than $40,000?
(b) What is the probability of people earns between $45,000 and $65,000?
(c) What is the probability of people earns more than $70,000?
Attempt any Eight questions
[8x5=40]Describe the role of Statistics in information technology.
The following table shows the mode of transport used by 400 students of a school. Represent the following information on the bar diagram and Pareto diagram.
| Mode of transport | Bus | Bicycle | On foot | By car |
| No. of students | 200 | 100 | 80 | 20 |
Write properties of correlation. A study is made relating aptitude scores to productivity in a factory after six months training of personnel. The following are the figures regarding six randomly selected workers:
Aptitude Scores X: 9 18 18 20 20 23
Productivity Index Y: 12 33 23 42 29 30
Find the coefficients of correlation between aptitude score and productivity index and comment on the value. Also find coefficient of variation for each variable.
Define random variable. A random variable X has following probability functions.
| X | 0 | 1 | 2 | 3 | 4 | 5 |
| P(X) | 0.1 | C | 0.2 | 2C | 0.3 | C |
Find,
(i) The value of C.
(ii) \(P(X < 3)\), \(P(X \geq 1)\).
(iii) Mean and variance.
Define binomial distribution. Fit a binomial distribution on the following data:
| x | 0 | 1 | 2 | 3 | 4 |
| f | 28 | 62 | 46 | 10 | 4 |
The probability that an integrated circuit chip will have defective etching is 0.12, the probability that it will have a crack defect is 0.29, and the probability that it has both defects is 0.07. What is the probability that a newly manufactured chip will have either an etching or crack defect.
If the first four moments about mean are 0, 2.8, -2 and 24.5 respectively. Compute coefficient of skewness and kurtosis and comment upon result.
The fuel consumption of a new model of cars is being tested. In one trial, 50 cars chosen at random were driven under the identical conditions and the distances, x km. covered on 1 liter of petrol were recorded. The results gave the following totals: € x=525, € x 2=5625 . Calculate the 99% confidence interval for the mean petrol consumption, in km per liter. Interpret the result.
Write short note on the following:
a) Use of Box and whisker plot.
b) Parameter and Statistic.