List – I List – II (a) Testing the goodness of fit of a distribution (i) Z-test (b) Testing the significance of the differences among the average performance of more than two sample groups (ii) Chi-square test (c) Testing the significance of the difference between the average performance of two sample groups (Large-sized) (iii) F-test

List – I List – II (a) Centroid Method (i) Multiple Regression (b) Hierarchical Method (ii) Factor Analysis (c) Relationship between a single metric dependent and two or more independent variables (iii) MANOVA (d) The main and interactive effects of categorical variables on multiple dependent interval variables. (iv) Cluster Analysis

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.