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UPSC Statistics PYQs 2023 | Vaidra | Vaidra
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Statistics UPSC PYQ 2023

62 questions from the UPSC 2023 examination. Showing a preview of 3 below — generate a full practice test to solve the rest.

3 questions

1Medium10 marks
Let x_1, x_2, ..., x_n be n given observations, and suppose that
Y_i = beta_0 + beta_1 x_i + e_i; i = 1, 2, ..., n,
where beta_0, beta_1 are unknown parameters and e_i are mutually independent normal random variables with E(e_i) = 0 and V(e_i) = sigma^2, i = 1, 2, ..., n. Also, sigma^2 is assumed to be unknown.
Test the null hypothesis H_0: beta_0 = beta_1 = 0.
2Medium10 marks
Differentiate between prior and posterior distributions. In case of squared error loss function, find out the Bayes estimator for unknown parameter.
3Medium15 marks
Differentiate among fixed, random and mixed effect models with examples. How are the three basic principles of design fulfilled in randomised block design ? Explain.

59 more Statistics 2023 questions await

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