When testing gas pumps for accuracy, fuel-quality enforcement specialists tested pumps and found that 1294 of them were not pumping accurately (within 3.3 oz when 5 gal is pumped), and 5705 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. h0: p=0.2h1: p> 0.2b. h0: p=0.2h1: ≠0.2c. h0: p≠0.2h1: p=0.2d. h0: p> 0.2h1: p=0.2e. h0: p=0.2h1: p< 0.2f. h0: p< 0.2h1: p=0.2the test static is z=the p-value is=because the p-value is (greater than/less than) the significance level (fail to reject/reject) the null hypothesis. there is (sufficient/insufficient) evidence support the claim that less than 20% of the pumps are inaccurate.