Stat 217
Applets
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Applet Name |
First Use |
Description |
How to use |
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Distribution of
number of successes in repeated samples from a population with success
rate p |
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Topic 4 |
Distributions of
sample results in random samples from Gettysburg Address |
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Topic 5 |
Distribution of
differences in explanatory variables groups from random assignment |
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p-value does not
display on Macs |
Lab 2 |
Distribution of
difference in success rates from random assignment |
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Lab 3 |
Distribution of
difference in group means from random assignment |
Overview |
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Lab 4 (Topic 11) |
Long-run relative
frequency of number of matches |
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On Macs: don't
use IE |
Topic 12 |
Calculate
probabilities from a normal distribution |
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Topic 13 |
Sampling
distribution of sample proportion |
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Test
of Significance Calculator On Macs: don't
use IE |
Topic 17 |
Carry out one and
two-sample tests and confidence intervals |
Overview |
|
Topic 6 |
Explore
properties of confidence intervals for p and m (not for analysis) |
How to use |
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Topic 14 |
Explore sampling
distribution of sample mean from right skewed population |
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Topic 14 |
Explore sampling
distribution of sample mean from uniform population |
How to use |
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Lab
6 |
Explore
sampling distribution of sample mean from normal population |
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Topic 33 |
Explore
properties of ANOVA table and p-value |
How to use |
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Topic 27 |
Guess value of r
for random scatterplots |
How to use |
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Topic 28 |
Explore
properties of least squares lines |
How to use |
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Topic 29 |
Explore exampling
distribution of sample slopes from repeated samples from GPA/Study
hours population |
How to use |
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Additional
Applets: |
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Topic 7 |
Allows you to
plot data in a histogram and to try different bin widths. |
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Topics 8/9 |
Allows you to
generate random data or alter data or upload data and then guess the
values of the mean/median/standard deviation/IQR. |
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Creating Boxplots from Shodor |
Topic 10 |
Allows you to generate boxplots by copying and pasting in your data. For parallel boxplots, use the formal x, y. and Graph by Category. |
The applets
in italics can be used for analysis as well as for
demonstration/simulation.
