Nationally, about 11% of the total U.S. wheat crop is destroyed each year by hail.† An insurance company is studying wheat hail damage claims in a county in Colorado. A random sample of 16 claims in the county reported the percentage of their wheat lost to hail.
17 | 9 | 8 | 13 | 10 | 19 | 14 | 9 |
8 | 8 | 26 | 22 | 11 | 9 | 12 | 7 |
The sample mean is x = 12.6%. Let x be a random variable that represents the percentage of wheat crop in that county lost to hail. Assume that x has a normal distribution and σ = 5.0%. Do these data indicate that the percentage of wheat crop lost to hail in that county is different (either way) from the national mean of 11%? Use α = 0.01.
1) Compute the z value of the sample test statistic.
(Round your answer to two decimal places.)
2) Find (or estimate) the P-value. (Round your answer to
four decimal places.)
Solution :
This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 0.11
Ha : 0.11
Test statistic = z
= ( - ) / / n
= (0.126 - 0.11) / 0.05 / 16
Test statistic = 1.28
P(z > 1.28) = 1 - P(z < 1.28) = 0.1003
P-value = 0.2006
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