Statistics_sem-3(statistical methods) b.sc previous question papers download

 Statistics_sem-3(statistical methods) previous question papers download

Subject :-(Statistics)

Subject name :-(Statistical methods)

Year :-(2017,2018,2019)

Hello students, I have a lot of previous question papers for every semester ( KAKATIYA UNIVERSITY).

The syllabus of the statistics paper is given below.

Syllabus of statistical methods

 3rd SEMESTER 

STATISTICS SYLLABUS

 Paper - III: Statistical Methods 

Unit - I 

Population correlation coefficient and its properties Bivariate data, Scattered diagram, Sample correlation coefficient, computation of correlation coefficient for grouped data. Correlation ratio, Spearman's rank correlation coefficient, and its properties. Principle of least squares, simple linear regression, correlation versus regression, properties of regression coefficients. Concepts and computation of Partial and Multiple correlation coefficients ( for 3 variables only ). 

Unit - II 

Fitting of quadratic and power curves. Analysis of categorical data  independence, association and partial association of attributes, various measures of association ( Yule's ) for two-way data and coefficient of contingency ( Pearson ), coefficient of colligation 

Unit - III 

Concepts of population, parameter, random sample statistic, sampling distribution, and standard error. Standard error of sample mean ( s ) and sample proportions. Exact sampling distributions - Statement and properties of x2, t, and F distribution and their interrelationships. Independence of sample mean and variance in random sampling from normal distributions. 

Unit - IV 

Point estimation of a parameter, concepts of bias, and mean square error of an estimate. Criteria of a good estimator - consistency, unbiasedness efficiency, and sufficiency with examples. Statement of Neyman's Factorization theorem, derivations of sufficient statistics in case of Binomial Poisson, Normal and Exponential ( one parameter only ) distributions. Estimation by the method of moments, maximum likelihood ( ML ), statements of asymptotic properties of MLE. Concept of interval estimation. Confidence intervals of the parameters of the normal population by Pivot method.

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Statistical Methods (semester-3)

Statistical Methods 2017 -question-paper download

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Click the above link to go to the Business laws paper-5 PDF. And you can download the PDF file from the page.

Statistical Methods 2018 -question-paper download

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Click the above link to go to the Business laws paper-5 PDF. And you can download the PDF file from the page.

Statistical Methods 2019 -question-paper download

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Important questions  

1. Scatter diagram.  

2. Advantages and disadvantages of scatter diagram.  

3. Describe Bivariate data.  

4. Describe Pearson's Correlation Coefficient.  

5. Define Correlation. 

6. Define Positive correlation.  

7. Define Negative correlation.  

8. Spearman's rank correlation. 

9. Define the term "Regression".  

10. Define Regression analysis. 

11. Define coefficient of Determination. 

12. What are the uses of regression analysis? 

13. What are the differences between correlation and regression? 

14. Give examples of where the use of regression analysis can be 65 beneficially be made. 

15. Give properties of correlation ratio.  

16. Explain the method of fitting a polynomial of Kth degree to a given data using the principle of at least squares.  

17. Explain the principle of least squares.  How do you fit a straight line to the given data.  

18. Describe the procedure for fitting a curve of the form Y = a + bX 70 69 data.

19. Describe Population Correlation Coefficient.  

20. Correlation Ratio.

Short questions

1. Point estimation. 

2. Differentiate between an Estimator and Estimate. 

3. Define Biased estimator. 

4. Define Mean -Square error. 

5. Define Minimum Variance unbiased Estimator (MVUE). 

7. Interval Estimation. 

8. Define central limit theorem. 

9. Confidence internal for large numbers. 

10. Explain Confidence Interval. 

11. Explain One-sided confidence interval 

12. Explain Two-sides confidence interval. 

13. Define Fisher-Neyman Factorization theorem.

Short Essay Questions 

1. Obtain standard error of sample proportion p. 

2. Obtain the standard error of difference of sample proportions.

3. The standard error of the sample mean of sample sizen from a population with variance o2 is . 

4. The standard error of difference of two sample means from normal populations. 

5. The standard error of difference of standard deviations in normal populations. 

6. Sampling Distribution of Sum of Observations from Binomial Distribution. 

7. Sampling Distribution of Sum of Observations from Poisson Distribution. 

8. Sampling distribution of sum of observations from normal population. 

9. Explain the concept of Random sampling. Derive the sampling distribution of sample mean x. 

10. Obtain the sampling distribution of the sum of observation from a normal distribution. 

11. What are the conditions for the validity of x2 - test. 

12. Reproductive property of x2- distribution. 

13. Define M.G.F. of Chi-square distribution. 

14. Define C.F. of Chi-squared distribution. 

15. Find Mode and Skewness of 2-distribution. 

16. Yate's correction and how to apply it ?