| Overview
This Authentic Learning Task (ALT) focuses on the process of taking
the mean from a sample and using it to estimate the average or mean
of a population. The Central Limit Theorem is introduced and helps
control of the accuracy of our estimate. You begin where you left
off in ALT #2, using Pennyville again as a population to illustrate
these concepts.
After completeing this ALT, you should be able to demonstrate the
following competencies:
- Using sample data, make predictions based on the foundational
principles of the Central Limit Theorem (Comp. 3).
Materials and Equipment
No materials or equipment are needed to complete the ALT.
Safety and Disposal
No special safety or disposal procedures are required.
Pre-Activity
Empirical Rule, Standard Error of the Mean, and Confidence
Intervals for the Mean
In this ALT, you follow-up and use some of the results from your
group’s penny data collected in the last activity.
As you observed in the last activity, the sample averages tend
to be normally distributed even though the underlying distribution
is skewed or uniform. This principal is foundational for the effectiveness
of Average Control Charts for variables. It is not a requirement
for the underlying distribution to be normally distributed because
of the central limit theory. The distribution of averages (means)
will be normally distributed.
In this exercise, you will focus on the empirical rule and apply
the central limit theorem concept in the application of the standard
error of the mean statistic and corresponding confidence intervals
of the mean.
Normal Distribution and the Empirical Rule
The empirical rule states that, given the standard deviation and
the mean values for any normal distribution, we can predict, using
the standard normal table, the probability of occurence of any specific
value.
Complete the following learning objects on the Normal Distribution
and the reference materials on the Normal distribution.
Complete the following learning objects on:
Confidence Interval for the Mean
Complete the “Confidence Interval for the Mean” learning
object by downloading the Normal
Distribution Excel Spreadsheet or use a Normal distribution
table
and calculator.
The confidence
interval simulator will provide insight into the relationship
between the probability and the sample.
A very complete online
reference source including statistical calculators is found
at Vassar College
Self-Assessment
Work the following problem:
Five ball bearings were randomly sampled from a production line
and their diameters were measured. The results in millimeters:
10.253,10.255.10.251, 10.251. 10.254
- Calculate the sample mean and sample standard deviation.
- Calculate the standard error of the mean.
- Determine the 90% confidence interval on the mean.
What should the minimum specification for the diameter be in order
to assure that only 1/100,000 would fall outside of the lower tolerance?
Click here for the worked
answers to problem.
Activity
- Your facilitator will place you and the other participants in
teams of two.
- In your team, take 30 pennies from Pennyville.
- Calculate and record the average and standard deviation from
your sample of 30 pennies.
- Construct the interval ( ) under the sampling distribution on
the flipchart. Use the average of the sample standard deviations
from ALT #2 for to calculate.
- Draw a vertical line centered at the real average of the population
down through the sampling distribution and all the intervals.
- Complete:
• Data Sheet: Interpretation
• Data Sheet: Central Limit Theorem
• Data Sheet: No More Pennies
Post-Activity
Your team should now post all of its results from the activity
to the Discussion Board.
Assignment
There are no instructions to prepare for ALT #4: How High?
Assessment
Your facilitator may use Assessment Sheet: Return to Pennyville
to evaluate your results from the activity and your posting to the
Discussion Board.
Go to next ALT
Probability, Sampling, and Hypothesis
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