Question: Topic: Hypothesis Testing Subject: Statistics and Probability With solution needed 1. Each of the following situations requires a significance test about a population mean State

Topic: Hypothesis Testing

Subject: Statistics and Probability

With solution needed

1. Each of the following situations requires a significance test about a population mean State the appropriate null hypothesis H0 and alternative hypothesis Ha in each case:

Topic: Hypothesis TestingSubject: Statistics and Probability With solution needed1. Each of thefollowing situations requires a significance test about a population mean State the

d. Your company sells exercise clothing and equipment on the Internet. To design the clothing, you collect data on the physical characteristics of your different types of customers. We take a sample of 24 male runners and find their mean weight to be 61.79 kilograms. Assume that the population standard deviation is o = 4.5. Calculate a 95% confidence interval for the mean weight of all such runners: Based on this confidence interval, does a test of Ho: u = 61.3 kg HA: p x 61.3 kg reject Ho at the 5% significance level? . Carry out the hypothesis test in 3 to verify your answer: c. Last year the government made a claim that the average income of the American people was $33,950. However, a sample of 50 people taken recently showed an average income of $34,076 with a population standard deviation of $324. Is the government's estimate too low? Conduct a significance test to see if the true mean is more than the reported average. Use an alpha = 0.01.f. An environmentalist collects a liter of water from 45 different locations along the banks of a stream. He measures the amount of dissolved oxygen in each specimen. The mean oxygen level is 4.62 mg, with the overall standard deviation of 0.92. A water purifying company claims that the mean level of oxygen in the water is 5 mg. Conduct a hypothesis test with alpha = 0.001 to determine whether the mean oxygen level is less than 5 mg. g. A bus company advertised a mean time of 150 minutes for a trip between two cities. A consumer group had reason to believe that the mean time was more than 150 minutes. A sample of 40 trips showed a mean *= 153 minutes and a standard deviation s=7.5 minutes. At the .05 level of significance, test the consumer group's belief

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