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Statistics (Applied statistics-2) sem-6 b.sc previous question papers download

 Statistics (Applied statistics-2) sem-6 b.sc previous question papers download

Subject :-(Statistics)

Subject name :-(Applied Statistics-2)

Year :-(2019)


Hello guys.... welcome to our platform"degreestudentz.blogspot.com". On this page, you will get"Statistics (Applied statistics)" previous question papers, which belong to KAKATIYA UNIVERSITY. Please try to understand my point students, this website is only to understand the pattern and model of question papers only.

Syllabus of statistics( Applied statistics -2)


TIME SERIES 

introduction 

Components of Time Series 

Trend 

Periodic Changes 

Irregular Component 

Analysis of Time Series 

Uses of Time Series 

Measurement of Trend 

Graphic Method 

Method of Semi Averages  

Method of curve Fitting by Principle of Least Squares Growth Curves and their Fitting 

Moving Average Method 

Approximation to Moving Average 

Measurement of Seasonal Fluctuations 

Method of Simple Average 

Ratio to Trend Method  

Ratio to Moving Average Method 

Link Relative Method 

Measurement of Cyclic Movement 

Autoregression Series 

First Order Auto-regression (Markoff's Series 

Second-Order Autoregressive Series (Yule's Series) 

General  Auto-regression 

Autocorrelation and Correlogram 

Correlogram of Moving Average 

Correlogram of Harmonic Series 

Correlogram of Autoregressive Series 

Random Component in Time  Series 

Variate Difference Method


INDEX NUMBERS 

Introduction 

Problems Involved in the Construction of Index Numbers 

The Criteria of a Good Index Number 

Classification of Index Numbers 

Economic Adviser's Wholesale Price Index Number 

Cost of Living  Index Number 

Main Steps in the Construction of Cost of Living Index Numbers 

Construction of Cost of Living Index 

Uses of Cost of Living Index Number 371 Base Shifting 

Splicing of Two Index Number Series 

Deflating the Index Numbers 

Index of  Industrial Production 

Interim Index of Industrial Production 

Revised Index of Industrial Production 

Index of Industrial Production with 1956 and 1960 as Base 

Index of Industrial Production with 1970 as Base 

Uses of Index Numbers 

Limitations of Index  Numbers 



DEMAND ANALYSIS 

Introduction 

Price Elasticity of Demand 

Partial Elasticities of Demand 

Types of Data Required for Estimating Elasticities 

Leontief's Method 

Pigou's Method (From Time Series Data) 

Pigou's Method (From Family Budget Data) 

Engel's Curve and Engel's Law 

Pareto's Law of Income Distribution 

Formulation of the Problem 

Curves of Concentration 

Utility Function


ANALYSIS OF VARIANCE

Introduction 

One-way Classification 

Mathematical Analysis of the Model 

Two - way Classification 

Mathematical Analysis of the Model 

Analysis of Two  - way Classified Data with k - observations per Cell



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Statistics_(Applied statistics-2) (semester-6)

Statistics (Applied statistics-2)_(sem-6) 2019(English medium)-question-paper download




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Important questions

1. Explain sample frame and standard error.

2. Explain subjective, probability and mixed sampling methods. .

3. Explain methods of drawing random samples with and without replacement. 

4. What is simple random sampling? Explain lottery method.

5. Explain proportional allocation in stratified random sampling. 

6. Explain advantages and disadvantages of Systematic Sampling. 

7.Explain additive, multiplicative and mixed models in Time Series. 

8.Explain the principle of least squares for measuring trend values in Time Series. Also mention its advantages and disadvantages. 

9. Explain ratio to moving average method. 

10. What is an index number? Explain uses and limitations of index number. 

11. Explain the problems involved in the construction of index numbers. 

12. What is Base Shifting of an index numbers? 

13. (a) What is Sampling? Explain advantages and limitations of sampling. 

Or

14. Jar Prove that in SRSWOR: E(s) s 

Or 

(b) Prove that in Systematic Sampling, the variance of the estimated Mean: N-1 (n-1)K 2 

15. What is Time Series? Explain the components of Time Series with an example. 

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