Advertisements
Advertisements
प्रश्न
Write short note on sampling distribution and standard error
Advertisements
उत्तर
Sampling distribution:
Sampling distribution of a statistic is the frequency distribution which is formed with various values of a statistic computed from different samples of the same size drawn from the same population.
For instance if we draw a sample a size n from a given finite population of N, then the total number of possible samples is
Ncn = `("N"!)/("n"!("N" - "n")!)` = k(say)
Standard Error:
The standard deviation of the sampling distribution of a statistic is known as its standard error abbreviated as S.E.
The standard error (S.E) of some of the well-known statistics, for large samples, are given below, where n is the samples size, σ² is the population variance.
APPEARS IN
संबंधित प्रश्न
Which of the following errors is more serious and why?
Discuss how you would use the lottery method to select 3 students out of 10 in your class?
Do samples provide better results than surveys? Give reasons for your answer.
Explain in detail about non-sampling error
State any two merits of simple random sampling
State any two demerits of systematic random sampling
In a sample of 400 population from a village 230 are found to be eaters of vegetarian items and the rest non-vegetarian items. Compute the standard error assuming that both vegetarian and non-vegetarian foods are equally popular in that village?
Choose the correct alternative:
A ______ may be finite or infinite according as the number of observations or items in it is finite or infinite
Choose the correct alternative:
In ______ the heterogeneous groups are divided into homogeneous groups
Determine the standard error of proportion for a random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad
