This module contains practice problems for the Central Limit Theorem from Collaborative Statistics by Susan Dean and Dr. Barbara Illowsky. The problems relating to Central Limit Theorem for averages have not been changed in this module. The problems relating to Central Limit Theorem for sums have been removed from this module.
Student learning outcomes
The student will explore the properties of data through the Central Limit Theorem.
Given
Yoonie is a personnel manager in a large corporation. Each month she must review 16 of the employees. From past experience, she has found that the reviews take her approximately 4 hours each to do with a population standard deviation of 1.2 hours. Let
be the random variable representing the time it takes her to complete one review. Assume
is normally distributed. Let
be the random variable representing the average time to complete the 16 reviews. Let
be the total time it takes Yoonie to complete all of the month’s reviews.
Distribution
Complete the distributions.
~
~
Graphing probability
For each problem below:
Sketch the graph. Label and scale the horizontal axis. Shade the region corresponding to the probability.
Calculate the value.
Find the probability that
one review will take Yoonie from 3.5 to 4.25 hours.
________
________
_______
3.5, 4.25, 0.2441
Find the probability that the
average of a month’s reviews will take Yoonie from 3.5 to 4.25 hrs.
_______
0.7499
When calculating the standard deviation for the mean using the Central Limit Theorem in this problem, the sample size is n = 16, the number of reviews she completes in a month.
Find the 95th percentile for the
average time to complete one month’s reviews.
The 95th Percentile=
4.49 hours
Discussion question
What causes the probabilities in
[link] and
[link] to differ?
the study of living organisms and their interactions with one another and their environment.
Wine
discuss the biological phenomenon and provide pieces of evidence to show that it was responsible for the formation of eukaryotic organelles in an essay form
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Source:
OpenStax, Collaborative statistics: custom version modified by r. bloom. OpenStax CNX. Nov 15, 2010 Download for free at http://legacy.cnx.org/content/col10617/1.4
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