19.5 20.3 19.6 20.2 17.8 17.9 19.1 18.8 17.6 16.8
Use the above data and a 0.01 significance level to test the claim that the BMI has a standard deviation that is equal to 1.34, which is the standard deviation for the winners in the 20s and 30s.
A) Write down the claim.
B) Write down the null hypothesis and the alternative hypothesis. Indicate which one is the claim.
c) Draw the probability distribution curve. Write down the testing statistic and the P-Value on the graph.
d) Determine whether to reject the null hypothesis. Write the conclusion in a complete sentence.
Test and CI for One Variance: C1
Method
σ: standard deviation of C1 |
The Bonett method is valid for any continuous distribution. |
The chi-square method is valid only for the normal distribution. |
Descriptive Statistics
N | StDev | Variance | 99% CI for σ using Bonett |
99% CI for σ using Chi-Square |
10 | 1.19 | 1.41 | (0.75, 2.53) | (0.73, 2.70) |
Test
Null hypothesis | H₀: σ = 1.34 |
Alternative hypothesis | H₁: σ ≠ 1.34 |
Method | Test Statistic |
DF | P-Value |
Bonett | — | — | 0.606 |
Chi-Square | 7.05 | 9 | 0.737 |
(A)-> Claim is BMH has standard deviation of 1.34.
(B)-> H₀: σ = 1.34 H₁: σ ≠ 1.34
(C)->
(D)->
Since the p-value is greater than level of significance, we don't have sufficient evidence to reject the null hypothesis at 1% level of significance. so Ho can't be rejected.
Hence the BMI has the standard deviation equal to 1.34.
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