Statistical Methods(SM) chapter 7 exercise solution

Statistical Methods(SM) Anderson's Chapter 7 Exercise solution.

Download Chapter 7 Sampling and Sampling Distributions exercise solution.


Learning Objectives:

1. Understand the importance of sampling and how results from samples can be used to provide estimates of population characteristics such as the population mean, the population standard deviation and / or the population proportion.
2. Know what simple random sampling is and how simple random samples are selected.
3. Understand the concept of a sampling distribution.
4. Understand the central limit theorem and the important role it plays in sampling.
5. Specifically know the characteristics of the sampling distribution of the sample mean ( x ) and the sampling distribution of the sample proportion ( p ).
6. Learn about a variety of sampling methods including stratified random sampling, cluster sampling, systematic sampling, convenience sampling and judgment sampling.
7. Know the definition of the following terms:

• parameter sampling distribution
• sample statistic finite population correction factor
• simple random sampling standard error
• sampling without replacement central limit theorem
• sampling with replacement unbiased
• point estimator relative efficiency
• point estimate consistency

Related Posts:

• Chapter 3 Descriptive Statistics: Numerical Methods
• Chapter 4 Introduction to Probability
• Chapter 5 Discrete Probability Distributions
• Chapter 6 Continuous Probability Distributions
• Chapter 7 Sampling and Sampling Distributions
• Chapter 8 Interval Estimation
• Chapter 9, 10

Posted in: Statistical Methods(SM)