Central Limit Theorem and Population Shape
Not what you're looking for?
1. State the main points of the Central Limit Theorem for a mean.
2. Why is population shape of concern when estimating a mean? What does sample size have to do with all?
Purchase this Solution
Solution Summary
This solution states the main points of the central limit theorem and why the population shape can be of concern.
Solution Preview
Central Limit Theorem
The central limit theorem states that as the sample size (or number of observations in each sample) increases to large enough, the sampling distribution of the mean can be approximated by the normal distribution. This is true regardless of the shape of the distribution of the individual values in the population.
Some important points regarding the central limit theorem are listed below:
(1) For most population distributions, regardless of shape, the ...
Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency
Tests knowledge of the three main measures of central tendency, including some simple calculation questions.
Terms and Definitions for Statistics
This quiz covers basic terms and definitions of statistics.
Know Your Statistical Concepts
Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.
Measures of Central Tendency
This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.