EDUCATION (CBSE/UGC NET)

EDUCATION UGC NET

RESEARCH METHODOLOGY

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Sampling error decreases with the
A
Process of analysis
B
Increase in sample size
C
Decrease in sample size
D
Process of randomization
Explanation: 

Detailed explanation-1: -In general, larger sample sizes decrease the sampling error, however this decrease is not directly proportional. As a rough rule of thumb, you need to increase the sample size fourfold to halve the sampling error.

Detailed explanation-2: -As the sample size increases, the probability of a Type II error (given a false null hypothesis) decreases, but the maximum probability of a Type I error (given a true null hypothesis) remains alpha by definition.

Detailed explanation-3: -Sampling errors are caused because the sample size is small and is inadequate to capture the population behaviour accurately. It can be reduced by increasing the sample size.

Detailed explanation-4: -As the sample sizes increase, the variability of each sampling distribution decreases so that they become increasingly more leptokurtic. The range of the sampling distribution is smaller than the range of the original population.

Detailed explanation-5: -Standard error decreases when sample size increases – as the sample size gets closer to the true size of the population, the sample means cluster more and more around the true population mean.

There is 1 question to complete.