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Section 13.1 Chi-square Test for Goodness of Fit (GOF) AP Statistics.

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Presentation on theme: "Section 13.1 Chi-square Test for Goodness of Fit (GOF) AP Statistics."— Presentation transcript:

1 Section 13.1 Chi-square Test for Goodness of Fit (GOF) AP Statistics

2 AP Statistics, Section 13.12 What would it have been like to be a crew member on the Titanic? The crew of the Titanic made up 40% of the people on board. But 45% of the deaths were from the crew (685 of 1517 deaths were from the crew) Did the crew pay a heavier cost?

3 AP Statistics, Section 13.13

4 4 What is a test statistic? z, t are test statistics In the previous example, z=3.975. What if…  z=0?  z=5?  z=-3? We can say that the test statistic is a measure of unusualness. The higher the value, the more unusual the value.

5 AP Statistics, Section 13.15 PercentObservedExpected On board Lost O-E(O-E)^2/E First class32915%130227.55-94.5141.81 Second Class28513%166197.21-28.494.93 Third Class71032%536485.4451.495.26 Crew89940%685606.8071.5110.07 2223100%15170.0061.02

6 AP Statistics, Section 13.16

7 7 What new for Chi-squared GOF No parameter of interest; rather a model describing the distribution amongst several categories. H0: the model is good. Ha: the model is not good. No normality check; rather no expected counts lower than 1. No more than 20% of the expected counts lower than 5. df=number of categories-1

8 AP Statistics, Section 13.18 The statistic for goodness of fit The Chi-square test statistic measures how closely the observed data matches what is expected given a particular model

9 AP Statistics, Section 13.19 Step 3: Test Statistic

10 AP Statistics, Section 13.110 ObservedExpected CountPercentageCount(O-E)^2/E Blue 24% Brown 13% Green 16% Orange 20% Red 13% Yellow 14%

11 AP Statistics, Section 13.111 Exercises 13.1-13.13 odd


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