P Statistics Tutorials
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Here you will get preparation, strategies and study material to clear CSIR-NET|GATE|IIT-JAM|ISS Exam.
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P Statistics Tutorials| UPSC ISS-2023 Mock Interview Registration Form| This Mock Interview are organizing by P Statistics Tutorials and it is based on UPSC ISS-2023 exam. To enrolled Mock interview fill registration form carefully. Link for registration: https://forms.gle/2BCHbrFrSXDD1pNaA
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✍Today poll question
Q. A minimum variance bound (MVB) estimator of a parameter ΞΈ is always____ for ΞΈ.
Anonymous Quiz
6%
(a) biased estimator
47%
(b) unbiased estimator
6%
(c) moment estimator
41%
(d) maximum likelihood estimator
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Forwarded from P Statistics Tutorials (Pankaj Kumar)
P Statistics Tutorials| UPSC ISS-2023 Mock Interview Registration Form| This Mock Interview are organizing by P Statistics Tutorials and it is based on UPSC ISS-2023 exam. To enrolled Mock interview fill registration form carefully. Link for registration: https://forms.gle/2BCHbrFrSXDD1pNaA
πŸ‘3
✍Today poll question
Q. Which of the following distribution has not additive properties?
Anonymous Quiz
12%
(a) Gamma
45%
(b) Uniform
8%
(c) Normal
36%
(d) Cauchy
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✍Today poll question
Q. Which of the following distribution has symmetric properties?
Anonymous Quiz
78%
(a) N(0, 1)
13%
(b) U(0, 1)
5%
(c) G(1, 1)
4%
(d) B(1, 1)
✍Today poll question
Q. Let X be a random variable with p.d.f. f(x)and f(x)=f(-x), then X has
Anonymous Quiz
42%
(a) N(1, 1)
10%
(b) B(1, 1)
24%
(c) C(0, 1)
24%
(d) U(0, 1)
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✍Today poll question
Q. Which of the following distribution has reproductive properties?
Anonymous Quiz
31%
(a) Negative Binomial distribution
16%
(b) Uniform distribution
39%
(c) Geometric distribution
13%
(d) Beta distribution
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On Choti Diwali, I wish that the brightness of the diyas guides you towards prosperity and success. May the light of love shine within you and around you. Happy Choti Diwali!
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✍Today poll question
Q. Let X be continuous r.v. follow C(0, 1), then which of the following is correct?
Anonymous Quiz
42%
(a) E(X|X|)=0
30%
(b) E(X|X|)=1
26%
(c) E(X|X|)=1/2
2%
(d) E(X|X|)=2