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- Collaborative statistics
- The chi-square distribution
- Lab 2: chi-square test for
This module provides a lab on Chi-Square Distribution as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.
Class Time:
Names:
Student learning outcome:
- The student will evaluate if there is a significant relationship between favorite type of snack and gender.
Collect the data
- Using your class as a sample, complete the following chart.
You may need to combine two
food categories so that each cell has an expected value of at least 5
Favorite type of snack
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sweets (candy&baked goods) |
ice cream |
chips&pretzels |
fruits&vegetables |
Total |
male |
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female |
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Total |
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- Looking at the above chart, does it appear to you that there is dependence between gender and favorite type of snack food? Why or why not?
Hypothesis test
Conduct a hypothesis test to determine if the factors are independent
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:
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:
- What distribution should you use for a hypothesis test?
- Why did you choose this distribution?
- Calculate the test statistic.
- Find the
p-value.
- Sketch a graph of the situation. Label and scale the x-axis. Shade the area corresponding to the
p-value.
- State your decision.
- State your conclusion in a complete sentence.
Discussion questions
- Is the conclusion of your study the same as or different from your answer to (I2) above?
- Why do you think that occurred?
Source:
OpenStax, Collaborative statistics. OpenStax CNX. Jul 03, 2012 Download for free at http://cnx.org/content/col10522/1.40
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