16.

1 nan p, of light bulbs made by this manufacturer differs from 43 months? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1_ H0 : :I H 1:] (b) Determine the type of test statistic to use. Choose one) V ( (c) F - test statistic. (Round to three or more decimal places.) 2 t Chi-square F (d) Find the p-value. (Round to three or more decimal places.) D , (e) Can we conclude that the population mean lifetime of light bulbs made by this manufacturer differs from 43 months? Yes NO O P s s [In % USU DZD DD 53 \\ E . . X 63 (d) Find the p-value. (Round to three or more deCImal places.) (e) Can we conclude that the population mean lifetime of light bulbs made by this manufacturer differs from 43 months? E . . X 63 (d) Find the p-value. (Round to three or more deCImal places.) (e) Can we conclude that the population mean lifetime of light bulbs made by this manufacturer differs from 43 months? E . . X 63 (d) Find the p-value. (Round to three or more deCImal places.) (e) Can we conclude that the population mean lifetime of light bulbs made by this manufacturer differs from 43 months? X a (d) Find the p-value. (Round to three or more decimal places.) (e) Can we conclude that the population mean lifetime of light bulbs made by this manufacturer differs from 43 months? Espaol AU 7 8 9 10 11 12 13 14 15 16 17 18 19 A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 16 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 8.09 fluid ounces and 0.16 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, J, differs from 8 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H. O P H : 0 X S P H, : 0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 0*0 00 0 X (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we conclude that the mean discharge differs from 8 fluid ounces?7 8 9 10 11 12 13 14 15 16 17 18 19 A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 16 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 8.09 fluid ounces and 0.16 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, J, differs from 8 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H. O P H : 0 X S P H, : 0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 0*0 00 0 X (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we conclude that the mean discharge differs from 8 fluid ounces?7 8 9 10 11 12 13 14 15 16 17 18 19 A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 16 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 8.09 fluid ounces and 0.16 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, J, differs from 8 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H. O P H : 0 X S P H, : 0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 0*0 00 0 X (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we conclude that the mean discharge differs from 8 fluid ounces?If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, M, differs from 8 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H . P Ho : 0 X S P H, : 0 0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Fit e test statistic. (Round to three or more decimal places.) Chi-square F X (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we conclude that the mean discharge differs from 8 fluid ounces? Yes ONoIf we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, M, differs from 8 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H . P Ho : 0 X S P H, : 0 0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Fit e test statistic. (Round to three or more decimal places.) Chi-square F X (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we conclude that the mean discharge differs from 8 fluid ounces? Yes ONo|_ Chi-square _ F (d) Find the p-value. (Round to three or more decimal places.) X \\(D D (e) Is there enough evidence to support the political scientist's claim that the proportion of college students who say they're interested in their district's election results is more than 65%? Yes No Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1. l1 O p H : 0 I] y s ,9 H1 : I] DD El Q (b) Determine the type of test statistic to use. D =|Z| l S'l I2! 2 t - test statistic. (Round to three or more decimal places.) ==EI L<_l _l>|_ Chi-square _ F (d) Find the p-value. (Round to three or more decimal places.) X \\(D D (e) Is there enough evidence to support the political scientist's claim that the proportion of college students who say they're interested in their district's election results is more than 65%? Yes No A college claims that the proportion, p, of students who commute more than Inteen miles to school is less call Z0 70. A researcher wallis to test ulis. A random sample of 260 students at this college is selected, and it is found that 45 commute more than fifteen miles to school. Is there enough evidence to support the college's claim at the 0.05 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H. O P Ho : 0 X S P H :0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 Z (c) Fit e test statistic. (Round to three or more decimal places.) 0*0 00 Chi-square F X 5 (d) Find the p-value. (Round to three or more decimal places.) (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes ONoA college claims that the proportion, p, of students who commute more than Inteen miles to school is less call Z0 70. A researcher wallis to test ulis. A random sample of 260 students at this college is selected, and it is found that 45 commute more than fifteen miles to school. Is there enough evidence to support the college's claim at the 0.05 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H. O P Ho : 0 X S P H :0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 Z (c) Fit e test statistic. (Round to three or more decimal places.) 0*0 00 Chi-square F X 5 (d) Find the p-value. (Round to three or more decimal places.) (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes ONo0 0 (d) Find the p-value. (Round to three or more decimal places.) X 0 (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes No0 0 (d) Find the p-value. (Round to three or more decimal places.) X 0 (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes No0 0 (d) Find the p-value. (Round to three or more decimal places.) X 0 (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes No7 8 9 Espanol 10 11 12 13 14 15 16 17 18 19 20 A college claims that the proportion, p, of students who commute more than fifteen miles to school is less than 20%. A researcher wants to test this. A random sample of 260 students at this college is selected, and it is found that 45 commute more than fifteen miles to school. Is there enough evidence to support the P college's claim at the 0.05 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) D (a) State the null hypothesis H and the alternative hypothesis H. P Ho : 0 X S H, :0 (b) Determine the type of test statistic to use. (Choose one) 0=0 030 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 0*0 00 0 (d) Find the p-value. (Round to three or more decimal places.) X 5 (e) Is there enough evidence to support the claim that the proportion of students who commute more than fifteen miles to school is less than 20%? Yes ON