List – I List – II a. Decision-making under conditions of certainty.   (i) When the outcomes are known but the probabilities of outcomes are not known. b. Decision-making under conditions of risk.   (ii) When elements of decision problem are clear and also the outcomes of different alternatives are known. c. Decision-making under conditions […]

List – I List – II (I) Poisson distribution 1. Mean is greater than variance (II) Normal distribution 2. Mean & Variance are same (III) Chi-Square distribution 3. Symmetric (IV) Binomial distribution 4. Positively skewed

List – I List – II (I) Poisson distribution has the property that 1. Its mean is greater than Variance (II) Normal distribution is a 2. Symmetric distribution (III) Chi-square distribution is 3. Positively skewed distribution (IV) Binomial distribution has the property that 4. Its mean and variance are equal.

i.Determine an estimate of population variance from within samples. ii.Determine an estimate of population variance from among the sample means. iii. Determine the difference between expected and observed frequency for each class.

(a) The Coefficient of Correlation is independent of change of origin and scale. (b) The Coefficient of Correlation between the two variables is the arithmetic average of the two Regression Coefficients. (c) The probable error of the Coefficient Correlation is 0.6745 times of its standard error. (d) Coefficient of Correlation multiplied by the ratio between […]

Statement (I): The probability of the joint occurrence of independent events A and B is equal to the probability of A multiplied by the probability of B or vice versa. Statement (II): The probability of the joint occurrence of independent event A and dependent event B is equal to the probability of event A multiplied by the […]