Special Case: Paired Sample TTest - PowerPoint PPT Presentation

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Special Case: Paired Sample TTest

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Title: Special Case: Paired Sample TTest


1
Special Case Paired Sample T-Test
  • Examples Paired-sample?
  • Car Radial Belted
  • 1 Radial, Belted tires
  • 2 placed on each car.
  • 3
  • 4
  • Person Pre Post
  • 1 Pre- and post-test
  • 2 administered to each
  • 3 person.
  • 4
  • Student Test1 Test2
  • 1 5 scores from test 1,
  • 2 5 scores from test 2.
  • 3
  • 4

2
Example
  • Nine steel plate girders were subjected to two
    methods for predicting sheer strength. Partial
    data are as follows
  • Girder Karlsruhe Lehigh difference, d
  • 1 1.186 1.061
  • 2 1.151 0.992
  • 9 1.559 1.052
  • Conduct a paired-sample t-test at the 0.05
    significance level to determine if there is a
    difference between the two methods.
  • adapted from Montgomery Runger, Applied
    Statistics and Probability for Engineers.

3
Example (cont.)
  • Hypotheses
  • H0 µD 0
  • H1 µD ? 0
  • t__________ ______
  • Calculate difference scores (d), mean and
    standard deviation, and tcalc
  • d 0.2736
  • sd 0.1356
  • tcalc ______________________________

4
What does this mean?
  • Draw the picture
  • Decision
  • Conclusion

5
Goodness-of-Fit Tests
  • Procedures for confirming or refuting hypotheses
    about the distributions of random variables.
  • Hypotheses
  • H0 The population follows a particular
    distribution.
  • H1 The population does not follow the
    distribution.
  • Examples
  • H0 The data come from a normal distribution.
  • H1 The data do not come from a normal
    distribution.

6
Goodness of Fit Tests (cont.)
  • Test statistic is ?2
  • Draw the picture
  • Determine the critical value
  • ?2 with parameters a, ? k 1
  • Calculate ?2 from the sample
  • Compare ?2calc to ?2crit
  • Make a decision about H0
  • State your conclusion

7
Tests of Independence
  • Hypotheses
  • H0 independence
  • H1 not independent
  • Example
  • Choice of pension plan.
  • 1. Develop a Contingency Table

8
Example
  • 2. Calculate expected probabilities
  • P(1 n S) _______________ E(1 n S)
    _____________
  • P(1 n H) _______________ E(1 n H)
    _____________
  • (etc.)

9
Hypotheses
  • Define Hypotheses
  • H0 the categories (worker plan) are
    independent
  • H1 the categories are not independent
  • 4. Calculate the sample-based statistic
  • ________________________________________
  • ______

10
The Test
  • 5. Compare to the critical statistic, ?2a, r
  • where r (a 1)(b 1)
  • for our example, say a 0.01
  • ?2_____ ___________
  • Decision
  • Conclusion

11
Homework for Wednesday, Nov. 10
  • pp. 319-323 25, 27
  • Pp. 345-346 12, 13

12
Homework
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