1. Inventing, developing, and analyzing possible courses of action. This involves processes to understand the problem, to generate solutions, and to test solutions for feasibility.
b. Design
2. Selecting an alternative or course of action from those available. A choice is made and implemented.
c. Choice
3. Searching the environment for conditions calling for decisions. Data inputs are obtained, processed, and examined for clues that may identify problems or opportunities.
Which of the following statements are correct?
1. Correlation analysis helps in determining the relationship between two or more variables. It does not tell us anything about the cause and effect relationship.
2. The ratio of explained variation to the total variation is called the coefficient of correlation.
3. Pearsonian coefficient always assumes linear relationship, and is unduly effected by the extreme items.
Eight coins are tossed together and the occurrence of a head is termed a success. Write down the Binomial distribution of probabilities for the occurrence of 0, 1, 2 . . . . 8 heads. What is the arithmetic mean and what is the variance of this distribution?
Which of the following statements relating to correlation and reegression are true?
1. The coefficient of correlation is independent of change of origin and scale
2. The coefficient of correlation between the two variables is the arithmetic average of the two regression coefficients
3. The probable error of the coefficient correlation is 0.6745 times of its standard error
4. Coefficient of correlation multiplied by the ratio between the standard deviations of the two variables denotes the slope of the regression line
Select the correct answer:
Statement I When a null hypothesis is true but as per the hypothesis testing, it is rejected; it is known as Type II error in hypothesis testing. Statement II For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate.
Statement I The mean of the sampling distribution of mean is equal to the parameter value of the population mean. Statement II Stratified sampling technique is unrestricted probability (random) sampling technique.