Statistical Methods(SM) Anderson's Chapter 7 Exercise solution.
Download Chapter 7 Sampling and Sampling Distributions exercise solution.
Learning Objectives:
- 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.
- Know what simple random sampling is and how simple random samples are selected.
- Understand the concept of a sampling distribution.
- Understand the central limit theorem and the important role it plays in sampling.
- Specifically know the characteristics of the sampling distribution of the sample mean ( x ) and the sampling distribution of the sample proportion ( p ).
- Learn about a variety of sampling methods including stratified random sampling, cluster sampling, systematic sampling, convenience sampling and judgment sampling.
- 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
- 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
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