Test Preparation on UGC NET Commerce Test Series-9

The difference between a parameter and a statistic is known as:

In Stratified Random Sampling there is:

A scale for which classification is possible:

Match the following:
   

     List I                      List II
a. Ordinal scale      (i) Length
b. Ratio scale         (ii) Colour of eye
c. Interval scale     (iii) Rating of performance
d. Nominal scale    (iv) Temperature

State whether the following statements are true or false:

I. When the null hypothesis is true and our test accepts it, this is called type I error.

II. When the area of rejection is located in both tails of the distribution it is called a one-tailed test.

Large Sample Theory is applicable when:

Calculated value of Chi square is always:

Match the items of List I with items of List II
The list I List II

a. F test i. testing goodness of fit
b. chi-square test ii. equality of variance of two population
c. standard error iii. The standard deviation of sampling distribution
d. systematic sampling iv. random sampling

If the sample size n = 16 and standard deviation s = 2, the standard error of the same mean will be:

State whether the following statements are true or false:

I. Both null and alternate hypotheses are stated in terms of population parameters.
II. Null hypothesis is a hypothesis stating the presence of difference.

‘N’ indicates: