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Statistics (Applied statistics-1) sem-5 b.sc previous question papers download
Subject :-(Statistics)
Subject name :-(Applied Statistics-1)
Year :-(2019)
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Syllabus of statistics( Applied statistics -1)
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) (semester-5)
Statistics (Applied statistics)_(sem-5) 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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