Hypothesis Test:
Option B
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A manufacturer claims that the mean lifetime of its lithium batteries is less than 1095 hours....
A manufacturer claims that the mean lifetime of its lithium batteries is 1401 hours. A homeowner selects 25 of these batteries and finds the mean lifetime to be 1380 hours with a standard deviation of 81 hours. Test the manufacturer's claim. Use a=0.01. p-value = 0.104 > 0.01; reject the Ho; there is not enough evidence to support the claim. ОА. p-value = 0.207 > 0.01; do not reject the Ho; there is enough evidence to support the claim. ОВ....
A manufacturer claims that the mean lifetime of its lithium batteries is 1101 hours. A homeowner selects 25 of these batteries and finds the mean lifetime to be 1081 hours with a standard deviation of 81 hours. Test the manufacturer's claim. Use a = 0.05. OA. p-value = 0.114 > 0.05; do not reject the Ho; there is enough evidence to support the claim. OB. p-value = 0.114 > 0.05; reject the Ho; there is not enough evidence to support...
A manufacturer claims that the mean lifetime of its lithium batteries is 1100 hours but a group of homeowners believe their battery life is different than this manufacturer's claim. A homeowner selects 35 of these batteries and finds the mean lifetime to be 1080 hours with a standard deviation of 80 hours. Test the manufacturer's claim. Use a 10% level of significance and the p-value approach. Round the test statistic to the nearest thousandth. Need hypothesis testing, values of symbols,...
1. A manufacturer claims that the mean lifetime of its lithium battery is 1000 hours. A homeowner selects 40 batteries and finds the mean lifetime to be 990 hours with a standard deviation of 80 hours. Test the manufacturer's claim. Use alpha = 0.05. a. Calculate the test statistics. test statistics= (Round your answer to the nearest hundredth) Answer is not 0.79 or 0.80 2. A local juice manufacturer distributes juice in bottles labeled 12 ounces. A government agency thinks that...
A manufacturer claims that the mean lifetime of its fluorescent bulbs is 1500 hours. A homeowner selects 40 bulbs and finds the mean lifetime to be 1480 hours with a population standard deviation of 80 hours. Test the manufacturer's claim. Use α = 0.05.
Alocal retailer daims that the mean waiting time is less than 5 minutes. A random sample of 20 waiting times has a mean of 3.5 minutes with a standard deviation of 21 minutes. Ata -0.01, test the retailer's claim. Assume the distribution is normally distributed The test statistic was calculated to be 3.194 and the critical value from the distribution table is 2.539. What decision and conclusion can you make? Reject the wil hypothesis, there is enough evidence to conclude...
A local retailer claims that the mean lifetime of its lithium batteries is normally distributed with a mean of 1400 hours. A homeowner randomly selects 29 of these batteries and finds the mean lifetime to be 1380 hours with a standard deviation of 50 hours. Test the manufacturer’s claim. At an ? = .1, test the retailer’s claim. a.) State the null and alternative hypotheses. b.) Verify that the requirements are met for conducting the hypothesis test. c.) Conduct the...
An airline claims that the no-show rate for passengers is less than 8%. In a sample of 433 randomly selected reservations, 25 were no-shows. At a = 0.10, test the airline's claim. P-value = 0.226 > 0.10; do not reject HO; There is not enough evidence to support the airline's claim, that is less O A than 8% P-value = 0.026 <0.10; reject HO; There is not enough evidence to support the airline's claim that is less than OB. 8%...
(SHOW YOUR WORK!!!) A local retailer claims that the mean lifetime of its lithium batteries is normally distributed with a mean of 1400 hours. A homeowner randomly selects 25 of these batteries and finds the mean lifetime to be 1340 hours with a standard deviation of 45 hours. Test the manufacturer’s claim. At an ? = .1, test the retailer’s claim. a.) State the null and alternative hypotheses. b.) Verify that the requirements are met for conducting the hypothesis test....
An airline claims that the no-show rate for passengers is less than 6%. In a sample of 389 randomly selected reservations, 16 were no-shows. At a = 0.09, test the airline's claim. P-value = 0.064 <0.09; reject HO; There is not enough evidence to support the airline's claim, O A. that is less than 6% P-value = 0.269 > 0.09; do not reject H0; There is not enough evidence to support the airline's B. claim, that is less than 6%...