"A veterinarian predicts that the average life span of local dogs (no specific dog breed) in America is less than the average life span of local dogs (Aspin) in the Philippines. The average life span of 43 local dogs in America is 13.3 years with σ2=4.41σ2=4.41. The average life span of 43 local dogs in the Philippines is 15.4 with σ2=2.25σ2=2.25. Test the veterinarian claim using α=0.05 level of significance." The following must be seen in your answer. State the statistical tool that will be used to solve the problem above. State the null and alternative hypotheses. Find the critical value and the degree of freedom (if possible)
"A veterinarian predicts that the average life span of local dogs (no specific dog breed) in America is less than the average life span of local dogs (Aspin) in the Philippines. The average life span of 43 local dogs in America is 13.3 years with σ2=4.41σ2=4.41. The average life span of 43 local dogs in the Philippines is 15.4 with σ2=2.25σ2=2.25. Test the veterinarian claim using α=0.05 level of significance." The following must be seen in your answer. State the statistical tool that will be used to solve the problem above. State the null and alternative hypotheses. Find the critical value and the degree of freedom (if possible)
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.2: Trigonometric Equations
Problem 97E
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"A veterinarian predicts that the average life span of local dogs (no specific dog breed) in America is less than the average life span of local dogs (Aspin) in the Philippines. The average life span of 43 local dogs in America is 13.3 years with σ2=4.41σ2=4.41. The average life span of 43 local dogs in the Philippines is 15.4 with σ2=2.25σ2=2.25. Test the veterinarian claim using α=0.05 level of significance."
The following must be seen in your answer.
- State the statistical tool that will be used to solve the problem above.
- State the null and alternative hypotheses.
- Find the critical value and the degree of freedom (if possible)
- Compute the test value
- Determine the decision for the null hypothesis
- Interpret the result
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