A credit score is a numerical value between 300 and 850 that measures a person's creditworthiness. Summary statistics and graphical display of credit scores for randomly selected 40 - 59 years old individuals from Texas, Pennsylvania, California, and Florida are shown below. Does average credit score differ by state? Statistics TX PA CA FL FL Sample Size 36 36 36 36 CA Mean 671.7 730.3 710.1 704.8 PA Standard Deviation 42.7 45.6 33.4 38.1 TX 550 600 650 . 1. The above charts show that on average, for this sample, credit scores in ...... 700 750 800 TX PA CA FL (choose one) tend to be lowest, and credit scores in TX PA CA FL (choose one) tend to be highest. 2. Formulate the appropriate hypotheses: Ho: Average credit score differs does not differ (choose one) by state. Ha: Average credit score differs does not differ (choose one) by state. 3. The distributions of the credit scores show quite a bit of variability. Should we be concerned when applying the ANOVA procedure? Why or why not? Please show your calculations. Concerned: No Explanation: Yes 4. Assume the conditions for safe use of the ANOVA procedure are satisfied. Fill in the blanks below. 0.7 0.6 0.5 F = 13.1 dfl = df2 = P-value estimate: 5. Make a formal decision. Decision: Reject Ho Do not reject Ho Why you made this decision: 6. Make a conclusion in context. 0.4 0.3 0.2 0.1 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 7. Can we generalize the above conclusion to the population of all individuals living in Texas, Pennsylvania, California, and Florida? Generalize: Yes Explanation: No
A credit score is a numerical value between 300 and 850 that measures a person's creditworthiness. Summary statistics and graphical display of credit scores for randomly selected 40 - 59 years old individuals from Texas, Pennsylvania, California, and Florida are shown below. Does average credit score differ by state? Statistics TX PA CA FL FL Sample Size 36 36 36 36 CA Mean 671.7 730.3 710.1 704.8 PA Standard Deviation 42.7 45.6 33.4 38.1 TX 550 600 650 . 1. The above charts show that on average, for this sample, credit scores in ...... 700 750 800 TX PA CA FL (choose one) tend to be lowest, and credit scores in TX PA CA FL (choose one) tend to be highest. 2. Formulate the appropriate hypotheses: Ho: Average credit score differs does not differ (choose one) by state. Ha: Average credit score differs does not differ (choose one) by state. 3. The distributions of the credit scores show quite a bit of variability. Should we be concerned when applying the ANOVA procedure? Why or why not? Please show your calculations. Concerned: No Explanation: Yes 4. Assume the conditions for safe use of the ANOVA procedure are satisfied. Fill in the blanks below. 0.7 0.6 0.5 F = 13.1 dfl = df2 = P-value estimate: 5. Make a formal decision. Decision: Reject Ho Do not reject Ho Why you made this decision: 6. Make a conclusion in context. 0.4 0.3 0.2 0.1 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 7. Can we generalize the above conclusion to the population of all individuals living in Texas, Pennsylvania, California, and Florida? Generalize: Yes Explanation: No
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 3E
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