Estimating the Population Mean, Part 2 of 2

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Taught by MrMurdick
  • Currently 3.0/5 Stars.
2465 views | 1 rating
Lesson Summary:

This lesson is the second part of estimating the population mean in statistics. The central limit theorem is applied to partition the sampling distribution of x-bars, with the result that it is 98% confident that the mean weight of all cereal boxes is between 31.73 and 31.77 ounces. The lesson shows how to calculate the confidence interval, and teaches how to write it in interval notation.

Lesson Description:

Part 2 of estimating the population mean in statistics.

Produced by Kent Murdick
Instructor of Mathematics
University of South Alabama

Questions answered by this video:
  • What is sampling error?
  • How can you be 98% confident that your sample mean lies within a specified region around a population mean?
  • What conclusions can you draw from a statistics sampling problem?
  • Staff Review

    • Currently 3.0/5 Stars.
    Part 1 of this lesson is concluded in this video. The concepts and ideas used are explained, as are their repercussions to the situation. This lesson explains many concepts that are difficult for beginning statistics students, and is very important to watch if you are struggling with statistics.