Recent Question

For random variable following chi-square distribution 1. If X follow standard normal distribution, then Y X 2 follows, (i) Normal (ii) Chi-square with 2 d.f. (iii) Chi-square with 1 d.f. (iv) Nome of these 2. The range of a chi-square variable is, (i) 0 to n (ii) 0 to (iii) to (iv) None of these 3. For random variable following chi-square distribution, (i) mean = 2(va ...

Other / Other 21 May 2016

The rejection region in testing of hypothesis 1. Testing of hypothesis was introduced by (i) Fisher (ii) Neyman (iii) Snedecor (iv) Nome of these 2. A statistical hypothesis which completely specifies the population is called, (i) Null hypothesis (ii) Alternate hypothesis (iii) Simple hypothesis (iv) None of these 3. A statistical hypothesis which is not completely specifies the population is called, (i) Null hypothesis (ii) com ...

Other / Other 21 May 2016

In common the estimators obtained by the method of MLE are 1. In common the estimators obtained by the method of MLE are (i) More efficient (ii) less efficient (iii) can’t say about efficiency (iv) None of these 2. If sample mean is an estimator of population mean ,it is a --- estimator of population mean (i) Unbiased and efficient (ii) biased and efficient (iii) Unbiased and inefficient (iv) None 3. The value taken by an e ...

Other / Other 21 May 2016

When the set of n expected and observed frequencies are same, the chi square value 1. Degrees of freedom for a chi-square test of independent with contingency table of order mXn is, (i) mXn (ii) m-1 X n-1 (iii) m+1 X n+1 (iv) None of these 2. Degrees of freedom for a chi square test of independence with contingency table of order 3X4 is, (i) 12 (ii) 6 (iii) 7 (iv) 20 3. When the degree of freedom increases indefinitely, chi square ...

Other / Other 21 May 2016

The ratio of the squares of two independent standard normal random variables 1. The ratio of the squares of two independent standard normal random variables is (i) An F- random variable with (1, 1) degree of freedom. (ii) An F- random variable with (n, 1) degree of freedom. (iii) An F- random variable with (1,n) degree of freedom. (iv) None of these 2. If F follow F distribution with (m, n) degrees of freedom then, 1/F follows , ( ...

Other / Other 21 May 2016

A single numerical value used as an estimate of a population parameter 1. For a random variable following F distribution, the mode is always, (i) one (ii) less than one (iii) greater than one (iv) None of these 2. The theory of estimation was founded by (i) Laplace (ii) Fermat (iii) Fisher (iv) None of these 3. A sample constant representing the population parameter is known as, (i) Expectation (ii) estimate (iii) Variance (iv) Non ...

Other / Other 21 May 2016

A sampling distribution might be based on which of the following 1. A ______ is a subset of a _________. (i) Sample, population (ii) Population, sample (iii)Statistic, parameter (iv) Parameter, statistic 2. A _______ is a numerical characteristic of a sample and a ______ is a numerical characteristic of a population. (i)Sample, population (ii) Population, sample (iii)Statistic, parameter (iv) Parameter, statistic 3. A sampling di ...

Other / Other 21 May 2016

Since the sample size is always smaller than the size of the population, the sample mean 1. Since the sample size is always smaller than the size of the population, the sample mean (i) Must always be smaller than the population mean (ii) Must be larger than the population mean (iii) Must be equal to the population mean (iv) Can be smaller, larger, or equal to the population mean 2. For a population with any distribution, the form of ...

Other / Other 21 May 2016

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 (typ ...

Other / Other 21 May 2016

In Chi square test of goodness of fit, the degrees of freedom of the chi square statistic 1. The distribution used for testing mean of a normal population when population variance is unknown with a large sample is, (i) Normal distribution (ii) t distribution (iii) F distribution (iv) None of these 2. Chi square test of goodness of fit is introduced by, (i)James Bernoulli (ii) Jacob Bernoulli (iii) Karl Pearson (iv) WS Gosset 3. I ...

Other / Other 21 May 2016