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STAT E50  Introduction to Statistics
Review for Final Examination
Onesample t
One sample
Onesample t for differences
Dependent samples
Twosample t
Independent samples
Two samples
ANOVA
Several samples
Population Means
Onesample z
One sample
Twosample z
Two samples
Chisquare test
Several samples
Population Proportions
Chisquare test
Two qualitative variables
Correlation and Regression
Two quantitative variables
Relationships between.
..
Inference about.
..
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View Full Document Review for Final Examination
For each of the situations described, indicate a statistical procedure that could
appropriately be used to analyze the data.
Usually there will be only one correct answer.
Procedures:
χ
2
goodnessoffit test
oneway ANOVA
regression
correlation
paired samples ttest
independent samples ttest
twosample test for proportions
χ
2
test for independence or homogeneity
singlesample ttest for a mean
singlesample test for a proportion
Research situations:
1. You want to know whether less than half of the people in the sample could do fewer
than three pushups on the President's National Fitness Test.
2. You want to compare the mean number of pushups done by 42 boys vs. 34 girls in a
local school on the President's National Fitness Test.
3. You want to see whether the choice of jogging, bicycling, or swimming as a favorite
activity is related to which one of three summer fitness programs people attended.
4. You want to predict how many pushups students will be able to do after participating
in a fitness program from the number they could do before the program.
5. You want to compare the mean number of pushups done by children who have
attended one of three different fitness camps in order to see which fitness program is
better.
6. You want to see the relationship between the number of pushups children can do in
an hour and the number of situps they can do in an hour.
7. You want to compare the mean number of
pushups done by 66 children after
participating in a fitness program with the number they could do before the program.
8. You want to discover whether mothers or their teenage daughters own more pairs of
shoes.
9. You want to see whether people's preferences for caffeinated or decaffeinated cola
are related to their preferences for regular or decaf coffee.
10. You want to see whether the number of email messages that people send is related to
the number of messages they receive each week.
11. To test a theory that people have no preference among four different colors, you ask
100 people to select among red, green, blue, and black paint samples.
12. You want to compare the mean weights of football players at Harvard and at Yale.
13. You want to determine whether a greater proportion of students in a "poor fitness"
category show signs of stress than students in the "average fitness" category.
14. You want to predict a person's college grade point average from that person's GPA in
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This note was uploaded on 05/20/2008 for the course STAT 50 taught by Professor Weinstein during the Spring '08 term at Harvard.
 Spring '08
 WEINSTEIN
 Statistics

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