Punjab Public Service Commission(PPSC) Test Syllabus of  lecturer Statistics  


(PPSC) Test Syllabus of lecturer Statistics


1.Statistics (Plural singular )

Definition Of Statistics 

Backbone Of Research is Statistics(uses)

2. Measures Of Central Tendency 

  1. Mathematical Average 
  2. A.M
  3. G.M (Most Important)
  4. H.M
  5. Positional Average 
  6. Median 
  7. Mode 

3. Measures Of Dispersion Six Methods 

  1. Range
  2. Interquartile Range
  3. Mean Deviation
  4. Standard Deviation 
  5. C.O.V
  6. Laurence Curve

4. Measures Of Skewness

  1. Symmetrical Values
  2. Asymmetrical (positive and negative skewed values)
  3. Karl Pearson(Important)
  4. Bowely (Important)
  5. Kelly method 
  6.  Measures Of Kurtosis
  7. Moments Of Kurtosis 
  8. Shapes Of Curve 

Three Types Of Kurtosis 

1.lepto Kurtic(height)

2.platy kurtic (lowest)

3.mesokurtic (middle)

6.Correlation 

Degree of Correlation 

Methods of studying correlation

1.Karl Pearson 

2.Spearmon(Rank Correlation) most important

3.Concurrent Correlation

Coefficient Of Determination

7.Linear Regression Analysis 

  1. Least Square Method 
  2. Regression Equation
  3. Regression Co-efficient 
  4. Properties Of Regression co-efficient 
  5. Standard error (most important) 

8.Index Numbers

  1. Unweighted Index
  2. Weighted Index

Tests

  1. 1.Time Reversal
  2. 2.Factor Reversal
  3. 3.Circular Test
  4. Consumer Price Index Numbers

9.Probability 

  1. Additional and Multiplicative Theorem 
  2. Bernoulli theorem 
  3. Binomial theorem 
  4. Normal Distribution and its Properties

10.Sampling Methods

Probability Sampling 

1.Random Sampling

2.Stratified Sampling

3.Systematic Sampling

4.Multistage sampling

5.Cluster Sampling

Non Probability Sampling

1.Judgement Sampling

2.Qouta Sampling

3.Convience Sampling

4.Extensive Sampling

5.Purposive Sampling

11.Test Of Hypothesis (Important)

  1. Small and Large Sample Test 
  2. T-test Type1 error and Type2 error
  3. Z test 
  4. F test
  5. Chi Square Test 
  6. Assumptions and conditions 

ANOVA (Analysis Of Variance) Important