Maximizing Data Accuracy: The Relationship Between Sample Size And Sampling Distribution In Math

True or false: The standard deviation of the sampling distribution of x¯ gets smaller as the sample size increases.

TrueThe formula for the standard deviation of the sampling distribution of x¯ is σ/n−√. Since the sample size is in the denominator, the standard deviation of the sampling distribution gets smaller as the sample size increases.

True.

As the sample size increases, the standard deviation of the sampling distribution of x¯ decreases, assuming that the population standard deviation is known. This can be shown mathematically using the formula:

Standard deviation of sampling distribution of x¯ = σ/√n

where σ is the population standard deviation and n is the sample size.

As n gets larger, the denominator of this formula increases, resulting in a smaller value for the standard deviation of the sampling distribution of x¯. This is beneficial because it indicates that larger sample sizes have less sampling variability and are more likely to produce a statistic (such as x¯) that is close to the true population parameter.

More Answers:
Mastering Statistics: Effective Techniques For Organizing And Summarizing Data
Statistics: Analyzing Data And Making Meaningful Conclusions
Maximizing Probability Accuracy With Central Limit Theorem (Clt) And Standard Normal Distribution

Error 403 The request cannot be completed because you have exceeded your quota. : quotaExceeded

Share:

Recent Posts

Mathematics in Cancer Treatment

How Mathematics is Transforming Cancer Treatment Mathematics plays an increasingly vital role in the fight against cancer mesothelioma. From optimizing drug delivery systems to personalizing

Read More »