CSS 2023 Statistics Paper II
7 questions from this paper.
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Q1
Differentiate between Probability and Non-probability sampling. Explain Stratified Random Sampling and compare it with Simple Random Sampling.
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Q2
Define Point Estimation and Interval Estimation. What are the criteria for a 'Good Estimator'? Discuss Unbiasedness and Consistency.
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Q3
Explain the logic of Hypothesis Testing. Define Type I and Type II errors, Level of Significance, and Power of a Test.
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Q4
Discuss the t-test for testing the difference between two means for small samples. State the assumptions required for the validity of the t-test.
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Q5
What is ANOVA? Carry out a one-way Analysis of Variance for a given set of data and explain the F-test used in the analysis.
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Q6
Distinguish between Parametric and Non-Parametric tests. Explain the Chi-Square test for Independence of Attributes.
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Q7
Define Vital Statistics. Explain Crude Death Rate (CDR), Specific Death Rate (SDR), and the uses of Life Tables.
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