doctor in Oklahoma City wants to know whether the average life s Four hospitals in the city differ. The data below represents the life sp patients from each hospital. Perform an ANOVA test with a 10% leve the average life span of heart disease patients in Oklahoma City diffe that treats them

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter10: Statistics
Section: Chapter Questions
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A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at
four hospitals in the city differ. The data below represents the life span, in years, of heart disease
patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether
the average life span of heart disease patients in Oklahoma City differs depending on the hospital
that treats them
Life Span of Patients Treated at Hospital 1:
8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6,
0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7
Life Span of Patients Treated at Hospital 2:
17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9,
0.5, 9.2, 13.9, 10.9
▼ Part 1 of 4
Life Span of Patients Treated at Hospital 3:
8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1
Life Span of Patients Treated at Hospital 4:
29.7, 6.1, 8.5, 2.8, 9.9, 13.6, 3, 2.2, 4, 9.7, 18, 5.4, 10.4, 10.5, 0.6, 0.6, 1.6, 7.9, 4.8, 12.2, 2.9, 9.9, 8.2,
2.2, 4, 6.8, 14.8, 11.4, 5.8, 8.4, 11.4
Step 1: State the null and alternative hypotheses.
Ho: P₁= H, H₂ = P₁
Ha: At least one mean isn't equal to the other means
Part 2 of 4
Step 2: Assuming the null hypothesis is true, determine the features of the distribution of
test statistics.
We will use a(n) F
dfbetween =
Question Help: D Post to forum
Submit Part
✓✓distribution with numerator degrees of freedom
and denominator degrees of freedom dfwithin =
MacBook Pro
Transcribed Image Text:A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 ▼ Part 1 of 4 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4: 29.7, 6.1, 8.5, 2.8, 9.9, 13.6, 3, 2.2, 4, 9.7, 18, 5.4, 10.4, 10.5, 0.6, 0.6, 1.6, 7.9, 4.8, 12.2, 2.9, 9.9, 8.2, 2.2, 4, 6.8, 14.8, 11.4, 5.8, 8.4, 11.4 Step 1: State the null and alternative hypotheses. Ho: P₁= H, H₂ = P₁ Ha: At least one mean isn't equal to the other means Part 2 of 4 Step 2: Assuming the null hypothesis is true, determine the features of the distribution of test statistics. We will use a(n) F dfbetween = Question Help: D Post to forum Submit Part ✓✓distribution with numerator degrees of freedom and denominator degrees of freedom dfwithin = MacBook Pro
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