When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1350 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5632 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. Question content area bottom Part 1 Identify the null hypothesis and alternative hypothesis. A. H0: p>0.2 H1: p=0.2 B. H0: p=0.2 H1: p>0.2 C. H0: p=0.2 H1: p≠0.2 D. H0: p<0.2 H1: p=0.2 E. H0: p=0.2 H1: p<0.2 F. H0: p≠0.2 H1: p=0.2 Part 2 The test statistic is z=enter your response here. (Round to four decimal places as needed.) Part 3 The P-value is enter your response here. (Round to four decimal places as needed.) Part 4
When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1350 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5632 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
Question content area bottom
Part 1
Identify the null hypothesis and alternative hypothesis.
A.
H0: p>0.2
H1: p=0.2
B.
H0: p=0.2
H1: p>0.2
C.
H0: p=0.2
H1: p≠0.2
D.
H0: p<0.2
H1: p=0.2
E.
H0: p=0.2
H1: p<0.2
F.
H0: p≠0.2
H1: p=0.2
Part 2
The test statistic is z=enter your response here.
(Round to four decimal places as needed.)
Part 3
The P-value is enter your response here.
(Round to four decimal places as needed.)
Part 4
Because the P-value is
▼
the significance level,
fail to reject
the null hypothesis. There is
▼
evidence support the claim that less than 20% of the pumps are inaccurate.
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