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The most serious error in testing of hypothesis

The most serious error in testing of hypothesis 



1. A wrong decision about null hypothesis lead to
(i) Type I error (ii) Type II error (iii) both (iv) None of these

2. Significance level is,
(i) P(type I error) (ii) P(type II error) (iii) 1- P(type I error) (iv) 1- P(type II error)

3. Power of a test is,
(i) P(type I error) (ii) P(type II error)
(iii) 1- P(type I error) (iv) 1- P(type II error)

4. Size of a test is
(i) P (type I error) (ii) P (type II error)
(iii) 1- P (type I error) (iv) 1- P (type II error)

5. Size of a test is also known as,
(i) Power (ii) significance level (iii) type I error (iv) type II error

6. The most serious error in testing of hypothesis is,
(i) Type I error (ii) Type II error (iii) Both are equally serious (iv) None of these



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21 May 2016

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  1. Genius

    The most serious error in testing of hypothesis

    The most serious error in testing of hypothesis The most serious error in te ****** ******
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