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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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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
Transcribed Image Text: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
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