Sampling and Estimates
Why Use Sampling?
1. To contact the entire population is too time consuming.
2. The cost of studying all the items in the population is often too expensive.
3. The sample results are usually adequate.
4. Certain tests are destructive.
5. Checking all the items is physically impossible.
Point Estimate versus Confidence Interval Estimate
•A point estimate is a single value (point) derived from a sample and used to
estimate a population value.
•A confidence interval estimate is a range of values constructed from sample
data so that the population parameter is likely to occur within that range at a
specified probability. The specified probability is called the level of confidence.
What are the factors that determine the width of a confidence interval?
1.The sample size, n.
2.The variability in the population, usually σestimated by s.
3.The desired level of confidence.
9-5
LO1 Define point and confidence interval estimates.
Modified by Dr. Saeed A. D. Alghamdi, Statistics Department, Faculty of Sciences, KAU