Name(s)
:
Sampling Distributions and Variability
Introduction to Statistics, Fall 1999, Tom Linton
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Take your collection of M&Ms and count out the "first" 25 of them.
Divide (randomly) the remaining M&Ms into groups of size 10. Once you
have less than 10 remaining, you may eat the leftovers (the last group
of less than 10).
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We are interested in estimating two quantities, the percentage of M&Ms
which are yellow and the percentage of M&Ms which are brown. To accomplish
this, we will count the number of yellow M&Ms in our piles of size
25 and the number of brown M&Ms in each pile of size 10.
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What two parameters are involved in this process?
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Describe the two statistics we will use to estimate the parameters in part
(a).
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Record the proportion of yellow M&Ms in your group of size 25.
:
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In the table below, record the proportion of brown M&Ms in each group
of size 10.
Brown M&M Proportions
| Group |
1 |
2 |
3 |
4 |
| Proportion |
|
|
|
|
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Add your proportions to the class data stem and leaf plots and then copy
these stem and leaf plots below.
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Are the stem and leaf plots symmetric?
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Do they appear approximately normal?
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Which is more spread out?
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Estimate the mean of each stem and leaf plot.
brown mean =
yellow mean =
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Calculate the mean and standard deviation of both the proportions of brown
and yellow M&Ms based on the class data sets.
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Using Table B, select a SRS of size 4 from the proportions of yellow M&Ms.
Record the yellow proportions you selected and the mean of your 4 yellow
proportions below. Add your 4-proportion mean to the stem and leaf plot
on the board.
yellow proportion numbers in our SRS:
mean of 4 proportions =
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Calculate the mean and standard deviation of this new data set.