The result will be closer to the truth.
(Apex Learning) A higher sample size gives more accurate results.
A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.
In this exercise, two important probability principles established are the Law of Large Numbers and the Central Limit Theorem. The Law of Large Numbers states that as a sample size increases, the sample mean will converge to the expected value of the population. Meanwhile, the Central Limit Theorem asserts that the distribution of the sample means will approach a normal distribution, regardless of the original population's distribution, as the sample size becomes sufficiently large.
Answer D- A higher sample size gives more accurate results- APEX LEARNING
Answer D- A higher sample size gives more accurate results- APEX LEARNING
Answer D- A higher sample size gives more accurate results- APEX LEARNING
Yes, but that begs the question: how large should the sample size be?
A sample size of one is sufficient to enable you to calculate a statistic.The sample size required for a "good" statistical estimate will depend on the variability of the characteristic being studied as well as the accuracy required in the result. A rare characteristic will require a large sample. A high degree of accuracy will also require a large sample.
no
Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.
that you have a large variance in the population and/or your sample size is too small
Better the results