TGPSC MPSO / ASO · Study notes
Statistics notes for TGPSC MPSO / ASO
22 notes in 7 chapters. Open a chapter, or go straight to a note.
1.1 Data, sampling, probability and presentation 5
- 1.1.1Statistics: meaning and scope; primary and secondary data; census and sample; schedule and questionnaireRead here
- 1.1.2Sampling methods: random (simple, stratified, systematic, cluster) and non-random; sampling and non-sampling errorsRead here
- 3.1.1Probability: classical, relative-frequency and axiomatic definitions; addition and multiplication theoremsRead here
- 1.1.3Classification, frequency distribution and tabulation; diagrams and graphs (bar, pie, histogram, frequency polygon, ogive)Read here
- 7.1.1Sampling techniques: census versus sampling, sample size, simple random, stratified (proportional and Neyman) and systematic samplingRead here
2.1 Measures of central tendency 2
2.2 Dispersion, skewness and the normal distribution 2
5.1 Correlation 3
6.1 Time series and index numbers 3
- 6.1.1Time series: components, measuring trend (graphic, semi-averages, moving averages, least squares) and seasonal variationRead here
- 6.1.2Index numbers: types and methods (Laspeyres, Paasche, Fisher, Marshall-Edgeworth), tests of adequacyRead here
- 6.1.3Base shifting, splicing and deflating index numbers; cost of living index and limitationsRead here
3.2 Probability and probability distributions 4
- 3.2.1Conditional probability, independent events, total probability and Bayes' theorem
- 4.1.1Random variables, probability mass and density functions, mathematical expectation and varianceRead here
- 4.1.2Bernoulli, binomial and Poisson distributionsRead here
- 4.1.3Normal distribution: properties, standard normal, area rules and usesRead here
4.2 Estimation and testing of hypotheses 3
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