9. When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1310 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5671 pumps were accurate. Use a 0.01 significance level to test the claim of an industry representative that less than 20% of the pumps are inaccurate. Use the P-value method and use the normal distribution as an approximation to the binomial distribution.
Identify the null hypothesis and alternative hypothesis.
A. H 0: p ≠ 0.2
H 1: p = 0.2
B. H 0: p 0< 0.2
H 1: p = 0.2
C. H 0: p = 0.2
H 1: p < 0.2
D. H 0: p > 0.2
H 1: p = 0.2
E. H 0: p = 0.2
H 1: p > 0.2
F. H 0: p = 0.2
H 1: p ≠ 0.2
The test statistic is z=____.
( Round to two decimal places as needed.)
The P-value is____
(Round to four decimal places as needed.)
Because the P-value is (greater than/less than) the significance level, (reject/fail to reject) the null hypothesis. There is (sufficient/insufficient) evidence support the claim that less than 20% of the pumps are inaccurate.
9. When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1310 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5671 pumps were accurate. Use a 0.01 significance level to test the claim of an industry representative that less than 20% of the pumps are inaccurate. Use the P-value method and use the normal distribution as an approximation to the binomial distribution.
Identify the null hypothesis and alternative hypothesis.
A. H 0: p ≠ 0.2
H 1: p = 0.2
B. H 0: p 0< 0.2
H 1: p = 0.2
C. H 0: p = 0.2
H 1: p < 0.2
D. H 0: p > 0.2
H 1: p = 0.2
E. H 0: p = 0.2
H 1: p > 0.2
F. H 0: p = 0.2
H 1: p ≠ 0.2
The test statistic is z=____.
( Round to two decimal places as needed.)
The P-value is____
(Round to four decimal places as needed.)
Because the P-value is (greater than/less than) the significance level, (reject/fail to reject) the null hypothesis. There is (sufficient/insufficient) evidence support the claim that less than 20% of the pumps are inaccurate.
for hypothesis: option C is correct
C. H 0: p = 0.2
H 1: p < 0.2
test statistic is z =-2.57 ( please try -2.58 or -2.51 if this comes wrong and revert)
p value =0.0051 ( please try 0.0049 or 0.0060 if this comes wrong and revert)
Because the P-value is less than the significance level, reject the null hypothesis. There is sufficient
evidence support the claim that less than 20% of the pumps are inaccurate.
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