Sampling and Sampling Distributions: Central Limit Theorem
Chapter Highlights
• Sampling techniques and the importance of sampling distribution in data science
• Importance of sampling and different types of samples including the probability and nonprobability sampling
• Sampling techniques including the simple random, systematic, stratified, cluster, judgment sampling, and other sampling methods
• Concepts of standard error for both finite and infinite populations
• Sampling distribution and how it is used to draw conclusions about the population
• Sampling distributions of two statistics: sample mean and sample proportion
• Central limit theorem and the distribution of sample means using this theorem
What You Need to Know
According ...
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