Advertisements
Advertisements
Question
Write short note on sampling distribution and standard error
Advertisements
Solution
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
RELATED QUESTIONS
Give two examples each of sample, population and variable.
Does the lottery method always give you a random sample? Explain.
What is population?
What is statistic?
What is standard error?
Explain in detail about non-sampling error
State any three merits of stratified random sampling
Choose the correct alternative:
Any statistical measure computed from sample data is known as ______
Choose the correct alternative:
A ______ is one where each item in the universe has an equal chance of known opportunity of being selected
A sample of 100 students is drawn from a school. The mean weight and variance of the sample are 67.45 kg and 9 kg. respectively. Find (a) 95% (b) 99% confidence intervals for estimating the mean weight of the students
