Exam Details
Subject | continuous distributions | |
Paper | ||
Exam / Course | b.sc statistics | |
Department | ||
Organization | Loyola College | |
Position | ||
Exam Date | April, 2018 | |
City, State | tamil nadu, chennai |
Question Paper
1
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI 600 034
B.Sc.DEGREE EXAMINATION -STATISTICS
SECOND SEMESTER APRIL 2018
17/16UST2MC01/ ST 2503 CONTINUOUS DISTRIBUTIONS
Date: 24-04-2018 Dept. No. Max. 100 Marks
Time: 01:00-04:00
PART A
Answer ALL Questions: (10 x2=20 marks)
1. Define Uniform distribution.
2. If X1 and X2 are independent uniform variates on find the mean and variance of X1 X2.
3. Write the P.d.f. of standard normal distribution.
4. Give any two importance of normal distribution.
5. Write the MGF og Gamma variate.
6. Justify, why moments do not exist for Cauchy distribution.
7. If X and Y are independent continuous random variables, then the p.d.f of U X Y is
given by fx fy u dv.
8. Derive the additive property of chisquare distribution.
9. What is Lack of memory property?
10. Define Beta distribution of first kind.
PART B
Answer Any FIVE Questions: 5 x8=40 marks)
11. Suppose the two dimensional continuous random variable has joint pdf given by
Find the marginal distributions of X and Y and
Conditional distribution of X given y.
12. X is a normal variate with mean 12 and S.D 4. Find the probabilities that
0 X 12 X 20
13. Prove that the arithmetic mean of independent observations from a standard Cauchy is also a standard Cauchy variate.
14. Obtain the Moment Generating Function of exponential distribution.
15. Obtain the derivation of Student's t distribution.
16. Obtain the mode of F-distribution.
17. Explain stochastic convergence in detail.
18. Derive the joint p.d.f. of kth order statistics.
PART C
Answer Any TWO Questions: x20 =40 marks)
19. Derive the moments of Normal distribution.
20. Derive the pdf of F distribution.
21. State and prove central limit theorem.
22. a. Obtain the distribution of sample mean when the random sample is from normal
distribution
b. Obtain the distribution of
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI 600 034
B.Sc.DEGREE EXAMINATION -STATISTICS
SECOND SEMESTER APRIL 2018
17/16UST2MC01/ ST 2503 CONTINUOUS DISTRIBUTIONS
Date: 24-04-2018 Dept. No. Max. 100 Marks
Time: 01:00-04:00
PART A
Answer ALL Questions: (10 x2=20 marks)
1. Define Uniform distribution.
2. If X1 and X2 are independent uniform variates on find the mean and variance of X1 X2.
3. Write the P.d.f. of standard normal distribution.
4. Give any two importance of normal distribution.
5. Write the MGF og Gamma variate.
6. Justify, why moments do not exist for Cauchy distribution.
7. If X and Y are independent continuous random variables, then the p.d.f of U X Y is
given by fx fy u dv.
8. Derive the additive property of chisquare distribution.
9. What is Lack of memory property?
10. Define Beta distribution of first kind.
PART B
Answer Any FIVE Questions: 5 x8=40 marks)
11. Suppose the two dimensional continuous random variable has joint pdf given by
Find the marginal distributions of X and Y and
Conditional distribution of X given y.
12. X is a normal variate with mean 12 and S.D 4. Find the probabilities that
0 X 12 X 20
13. Prove that the arithmetic mean of independent observations from a standard Cauchy is also a standard Cauchy variate.
14. Obtain the Moment Generating Function of exponential distribution.
15. Obtain the derivation of Student's t distribution.
16. Obtain the mode of F-distribution.
17. Explain stochastic convergence in detail.
18. Derive the joint p.d.f. of kth order statistics.
PART C
Answer Any TWO Questions: x20 =40 marks)
19. Derive the moments of Normal distribution.
20. Derive the pdf of F distribution.
21. State and prove central limit theorem.
22. a. Obtain the distribution of sample mean when the random sample is from normal
distribution
b. Obtain the distribution of
Other Question Papers
Subjects
- actuarial statistics
- applied statistics
- applied stochastic processes
- bio-statistics and survival analysis
- bioinformatics
- bioinformatics lab
- business process and management
- continuous distributions
- data analysis using ms excel
- database management system
- design and analysis of experiments
- discrete distributions
- estimating theory
- mathematics for statistics - i
- mathematics for statistics - ii
- operations research
- probability and random variables
- r - language
- regression analysis
- sampling theory
- statistical data analysis using spss
- statistical methods
- statistical quality control
- survey practice and reporting
- testing of hypotheses