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Old Friday, June 03, 2011
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Default FPSC test for lectureship...

I am looking for some guidance for up coming test of FPSC. Can any one share the details of this exams especially for statistics. From where to get the syllabus?? and does GPA or division of a candidate counts in making merit??
waiting for reply!!!
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For Statistics
Part-I (20 marks)
Vocabulary, Grammar usage, Sentence Structure.

Part-II (Master’s Level) (50 marks)
 Measures of Central Tendency,
 Measures of Dispersion or Variation,
 Regression and Correlation,
 Index Numbers,
 Probability Theory,
 Probability Distributions,
 Presentation of Data by Frequency Distribution & Graphs,
 Time Series Analysis,
 Statistical Inference,
 Sampling Theory and Techniques,
 Analysis of Variance,
 Experimental Design.


Part-III (30 marks)
 Teaching Techniques and Methodology,
 Classroom Management and Discipline,
 Testing and Evaluation,
 Development of Education in Pakistan.
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Savoir Faire (Saturday, June 04, 2011)
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Old Saturday, June 04, 2011
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Quote:
Originally Posted by Omera Akram View Post
I am looking for some guidance for up coming test of FPSC. Can any one share the details of this exams especially for statistics. From where to get the syllabus?? and does GPA or division of a candidate counts in making merit??
waiting for reply!!!
Regards
Source: Statistics Syllabus

STATISTICS
Total Marks - 100

1. Basic Probability Axiomatic definition of probability, random variable, distribution function, probability density function, mathematical expectation; conditional probability, jointly distributed random variables, marginal and conditional distributions, conditional expectation, stochastic independence.

2. Some Special Distributions : Binomial, poisson. negative binomial, hypergeometric, normal distributions with their derivation of their mean and variance; Definition and Application of chisquare, "T" and ‘F’ distributions.

3. Statistical Inference: Maximum likelihood estimation of the mean and the variance of a normal population; confidence interval for mean, difference of means and for variance: testing hypothesis for the equality of two means (paired and unpaired observations); testing of equality of sever al means (ANOVA) and testing of variance and equality of two variance.

4. Correlation and regression: Simple linear regression model point and interval estimation of parameters, Simple Partial, Multiple Correlation and testing of these correlations.

5. Sampling, Simple random, stratified, systematic and cluster sampling, estimates of mean and total and their precision.

6. Applications of Statistics in social, economic and political problems public health, crimes, Law, social innovations economic development, socio-political inequality.

SUGGESTED READINGS

Title Author
1
Introduction to the Theory of Statistics

Mood, Graybill and Boes

2
Mathematical Statistics

Freund

3
Mathematical Statistics

Hood and Craig

4
Sampling Techniques (3e)

Cochran and Cox

5
Statistics: An Introductory Analysis

Yamane

6
Statistics: A Guide to the Unknown

Tanur; Hudith (ed)
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