Sampling Distributions and Confidence Intervals

  
Assignment Steps
· Show research on the matter that is properly cited and referenced according to APA with references
· Create a substantive message would include a personal or professional experience as it relates to the particular theory, please provide examples. Word count   of each substantive participation 100-150 words of each one of the following subjects:

Provide      example of the Central Limit Theorem 
Analyze how      sampling distributions for sample means are used to make managerial      decisions (Example).
Provide      example Contrast normal distributions with sampling distributions
Provide      example of confidence intervals (Examples) 
Analyze how      to estimate mean and proportion (Examples) 
Evaluate how      the estimates can be used to make management decisions (examples). 
Scenario – Assume      you have a large family of 500 or more and you want to see if they were      satisfied with the last family reunion. Is it possible to take a census of      every family member or should a sample be taken? If a sample is taken,      what type of sampling technique would gain the most valid information?      Explain why. Refer to Chapter 7 to assist you in responding to this scenario.
How you can provide point and      confidence interval estimates in personal and professional settings      (Example).
Scenario – “The four basic      random sampling techniques are simple random sampling, stratified random      sampling, systematic random sampling, and cluster (or area) random      sampling. Each technique offers advantages and disadvantages. Some      techniques are simpler to use, some are less costly, and others show      greater potential for reducing sampling error” (Black, 2017, pg.      205). Compare and Contrast the four sampling techniques. Give an example      of how one of the techniques can be used in the decision-making process in      your workplace. Refer to Chapter 7 to assist you in responding to this      scenario.

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