When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1263 of...

When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1263 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5693 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.

The test statistic z =

The P-value is =

Whats the conclusion of the hypothesis?

What is the final conclusion?

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orchestra answered 1 year ago

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When testing gas pumps for​ accuracy, fuel-quality enforcement specialists tested pumps and found that 1263 of...