Sampling and Estimation

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Simple Random Sampling and Sampling Distribution

Sampling Error

Stratified Random Sampling

Time Series and Cross Sectional Data

Central Limit Theorem

Standard Error of the Sample Mean

Parameter Estimation

Point Estimates

Confidence Interval Estimates

Confidence Interval for a Population mean, with a known Population Variance

Confidence Interval for a Population mean, with an Unknown Population Variance

Confidence Interval for a Population Mean, when the Distribution is Non-normal

Student’s t Distribution

How to Read Student’s t Table

Biases in Sampling

Course Resources

Quizzes

Lesson 2 of 15

Sampling Error

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Sampling error is the difference between the sample statistics (such as sample mean) and the corresponding population parameter (such as population mean).

Sampling error occurs due to the random selection of the sample and can be reduced by increasing the size of the sample, or by ensuring that the sample more closely represents the population.