**MAASAI MARA UNIVERSITY**

**REGULAR UNIVERSITY EXAMINATIONS**

**2015/2016 ACADEMIC YEAR**

**SECOND YEAR SECOND SEMESTER**

**SCHOOL OF BUSINESS AND ECONOMICS**

**BACHELOR OF ARTS IN ECONOMICS**

**COURSE CODE: ECO 213**

**COURSE TITLE:ECONOMIC STATISTICS II**

**DATE: 9TH MAY, 2016 TIME: 2.30 – 4.30PM**

**INSTRUCTIONS TO CANDIDATES**

**1. Answer Question ONE and any other THREEquestions**

**This paper consists of 5printed pages. Please turn over.**

**Question One**

(a) The Gaussians distributions (Normal distribution) for random variables tend to have density curves that resemble one another in their physical condition. Explain in details the five main properties underlined in the General Normal Distribution. (10mks)

(b) Students at the University conducted a study in a given population to find the rate of infection of a particular disease. If the students took a random sample of size n, from an infinite size of population with a mean µ, varianceδ2and the sample mean . Prove that;

(c) Suppose that a box contains 10 balls which are distributed as follows: three are white and dotted balls, one is white and stripped, two are gray and dotted and four are grey and stripped. Find;

(i) The probability of getting a dotted ball given that its white(2mks)

(ii) The probability of a stripped ball given that its white (2mks)

(iii) Probability that its grey given that its dotted (2mks)

(iv) Probability that its grey given that its stripped (2mks)

(v) Probability of getting a dotted ball (1mks)

**Question Two**

(a) Write short notes on the following

(i) Properties of the Chi-Square Distribution (3mks)

(ii) Type I and Type II error (2mks)

(iii) Statistical inference (2mks)

(b) Suppose we are provided with the following information concerning the dependence of the colour of the son’s eyes to the colour of the father’s eyes.

Is the colour of the Son’s eyes independent of the Father’s eyes? (8mks)

**Question Three**

(a) A component is tested but the test is not infallible. If the component is good 70% of the time test gives positive indication i.e. 70% of the time test gives positive indication. If the component is defective, 80% of the time test gives negative indication denoting that the system is bad. If in the manufacturing process, the percentage of defective component is 20, calculate;

(i) Probability that the component is good, and test gives positive indication (2mks)

(ii) Probability that the component is good, and test gives negative indication (2mks)

(iii) Probability that the component is not good, and test gives positive indication (2mks)

(iv) Probability that the component is not good, and test gives negative indication (1mks)

(b) Let X and Y be the random variable such that E(X) = 2.8, E(Y) = 5.3, and E(XY) = 18.6. Compute E(4X + 16XY + 16Y) (2mks)

(c) Consider a case in which ∏ ≠ 0.5. suppose we toss a die four times, find the number of proportion distribution in which heads appears as follows;

(i) b(0, 4, 1/6) (2mks)

(ii) b(2, 4, 1/6) (2mks)

(iii) b(1, 4, 1/6) (2mks)

**Question Four**

(a) If a manufacturer of panadol tablets asserts that approximately 40% of the total population uses panadol. A sample of 49 people was taken from a population of those using panadol; the proportion of those using panadol is 18. Is the proportion of people using panadol significantly different from the hypothesized population

(5mks)

(b) Suppose we want to know whether fertilizers significantly increase output. We take a sample of 40 fields and we find that the average yield is 50. We take another sample of 40 fields and the average yield is 45. Given the variance for the first field δ21=100 and second sample is δ22=64. Do fertilizers significantly increase output?

(5mks)

(c) Describe the main criterion used in judging estimations in economic statistics (5mks)

**Question Five**

Write brief notes on the following aspects as used in economic statistics

(a) Significance of the Central Limit theorem (3mks)

(b) Probability under statistical independence (3mks)

(c) Properties of Binomial Distribution (3mks)

(d) Properties of Mathematical Expectation (3mks)

(e) Properties of Standard Normal Distribution (3mks)