Which of the following factors is NOT essential for calculating sample size for a single mean estimation?
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Answer:
WHICH OF THE FOLLOWING FACTORS is
not essential for calculating sample size for a single mean estimation need for statistical significance. assumptions about population standard deviation. precision significance level.
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Assumption about population Standard Deviation is not essential for calculating sample size for a single mean estimation.
What is Sample Size?
Sample size refers to the act of choosing some of the observations from large set of data provided.
What is Single mean Estimation?
Estimation refers to the probability of any event. Single mean estimation is defined as the one determined mean for a given sample size is to be calculated.
Factors which are important for the calculation of sample size for a single mean estimation are:-
- Need for Statistical significance- For determining a single mean estimation of any sample size, it is needed to be of some statistical significance. Statistical significance refers to the data which consists oa particular and relevant information about the population.
- Precision- Though the statistical data is estimated one, but the precision needs to be accurate to avoid the sample errors.
- Significance level- The sample taken should be of some importance unless the data estimated need not be correct.
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