AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a...
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Transcript of AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a...
![Page 1: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/1.jpg)
AP Statistics: ANOVA Section 2
![Page 2: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/2.jpg)
In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that test only tells us
when differences exist, not which specific groups differ. The goal of this section is to adapt the inference procedures of section 13.1 to use
the results of the ANOVA analysis. This will allow us to find a confidence interval for the mean of
any group, find a confidence interval for a difference in means between two groups and
test when that difference is significant.
![Page 3: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/3.jpg)
In earlier inference work, we used formulas such as those below for doing inference about a
single mean or a difference in means.
![Page 4: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/4.jpg)
If we have found an ANOVA table based on samples from several groups, we make a couple of small adjustments to these formulas.* Estimate any standard deviation with from the ANOVA table. Since one of the conditions for the ANOVA is that the standard deviation is the same for each group, using gives an estimate that is based on all of the samples and not just one.* Use the error degrees of freedom, n – k, for any t- distributions. We often call the pooled standard deviation
![Page 5: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/5.jpg)
Inference for Means After ANOVAAfter doing an ANOVA for a difference in means among k groups based on sample of size
Confidence interval for : Confidence interval for :
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![Page 6: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/6.jpg)
If the ANOVA indicates that there are differences among the means: Pairwise test of vs :
where MSE is the mean square error from the ANOVA table and the t-distribution use n – k degrees of freedom
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![Page 7: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/7.jpg)
Example: Let’s go back to the ants and sandwich fillings example from section 1.
![Page 8: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/8.jpg)
Find and interpret a 95% confidence interval for the mean number of ants attracted to a peanut butter sandwich.
8
7.138080.234 )66.42,34.25(
42.66 and 25.34between issandwich butter peanut a to
attracted ants ofnumber mean that theconfident 95% are We
![Page 9: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/9.jpg)
Find and interpret a 95% confidence interval for the difference in average ant counts between vegemite
and ham & pickles sandwiches.
8
1
8
17.138080.225.4975.30
25.6,75.30
6.25.- and 30.75-between is pickles &ham vs vegemite toattacted ants
ofnumber mean ebetween th difference theconfident 95% are We
![Page 10: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/10.jpg)
Note: Since our confidence interval contains only negative numbers, this
implies that our two population means differ – this is not surprising since
ANOVA done earlier indicated that at least two of the groups have different
means.
![Page 11: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/11.jpg)
Test at the 5% level for a difference in mean number of ants between vegemite and peanut
butter sandwiches.
PBVH :0
PBVaH : fillingsandwich that toattracted ants
ofnumber mean theis each where
1section ANOVA in checked wereconditions
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588.)294(.2value-p
![Page 12: AP Statistics: ANOVA Section 2. In the previous section, we saw how to use ANOVA to test for a difference in means among several groups. However, that.](https://reader036.fdocuments.in/reader036/viewer/2022081821/56649ee75503460f94bf7b4a/html5/thumbnails/12.jpg)
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