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Sampling, estimation, and hypothesis testing

Quantitative methods · Lesson 4 of 5

Lesson 4 of 5

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Lesson 4 of 5 · Quantitative methods

Sampling, estimation, and hypothesis testing

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By the end you’ll be able to

Explain the principles of statistical inference, including populations, samples, parameters, statistics, and sampling error.
Describe common sampling methods and sampling distributions, including the role of the central limit theorem.
Calculate and interpret point estimates and confidence intervals for population means under appropriate assumptions.

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Formulate null and alternative hypotheses, distinguish between one-tailed and two-tailed tests, and explain Type I and Type II errors.

Conduct and interpret hypothesis tests for population means using test statistics, critical values, and p-values.

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