Every time we use a sample to describe a population we are going to encounter th

Question

Every time we use a sample to describe a population we are going to encounter the fact that the Sample Statistics are not the same as the true Population Parameters, therefore we will have a: 7. a. Random Sample b. Stratified Random Sample c. Simple Random Sample d. Systematic Random Sample e. Sampling Error 8. What is the purpose of studying a sampling distribution of the sample mean? a. To be able to find out if the population random distribution is stratified b. To study how close the random samples represent the population c. Because it is the first step in selecting a Simple Random Sample d. Because it is the first step to figure out the Mean for a Bell Shaped sample distribution e. We simply need to be able to have a full population, the sample mean is proven not to represe population in any way shape or form.

Explanation / Answer

1) Every time use a sample to describe a population we are going to encounter the fact that the sample statistics are not the same as the true population parameters, therefore we will have a:

Ans.:- Sampling Error.

2) What is the purpose of studying a sampling distribution of the sample mean?

Ans.:- To study how close the random samples represent the population.

Related Questions

Navigate

• Browse (All)
• Browse E
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.