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As n become large a chi-square variable with n degrees of freedom 1. The probability distribution of the sum of squares of ‘n’ independent standard normal random variables is, (i) Normal (ii) Chi-square (iii) t (iv) None of these 2. As n become large a chi-square variable with n degrees of freedom follows, (i) N (n, 2n ) (ii) N (n, 2n ) (iii) N (2n, 2n ) (iv) None of these 3. ‘student’ is the penname of, (i) Newton (ii) Chebychev (iii) Laplace (iv) Gosset 4. The range of a t variable is, (i) 0 to n (ii) 0 to (iii) ï€Âto (iv) None of these 5. For a random variable t following t distribution with 7 d.f., the mode is, (i) 0 (ii) 7 (iii) 6 (iv) None of these 6. If t follow t-distribution with ‘n’ degrees of freedom, then Z t 2 follows, (i) F- distribution with (1,n) d.f. (ii) F- distribution with (n,1) d.f. (iii) Chi- distribution (iv) None of these Math Assignment Help, Math Homework help, Math Study Help, Math Course Help
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As n become large a chi-square variable with n degrees of freedom
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