Question

1. A university athletic coach is in debate with an academic dean who is concerned about the amount of time claims that their student athletes spend at practice vs studying. The university athletic coach claims that practice time takes an average of 34 hours per week in practice drills, with a nonzero population standard deviation of ? = 10.7 hours. The academic dean takes a survey of a random sample of n = 36 weekly practice time historic reports which revealed a sample mean time of 39 hours spent on practice drills. Using an alpha of .10, determine if the amount of time spent training for/practicing drills is significantly different from the claim of 34 hours. Test the null hypothesis that the true mean is 34 hours against the alternative hypothesis that the true mean is not equal to 34 hours. Assume that the data are normally distributed. What do you conclude based upon the sample data? 2. A local school superintendent argued that union bus drivers were getting paid an average hourly wage of $17.00. The union representatives argue that the average hourly pay is lower. A sample of 81 bus driver pay stubs revealed that their average hourly wage was $14.00 with a sample standard deviation of $3.00. Using an alpha of .02, determine if the average hourly wage that the true hourly wage is $17.00 against the alternative hypothesis that the true hourly wage is less than $17.00. What do you conclude based upon the sample data? 3. A local school system cafeteria director uses a machine to fill their 18-ounce cans of juice. If the machine performs improperly, it needs to be adjusted. The floor supervisor thinks the machine is overfilling the cans. A sample of 50 cans is found to have an average amount of 20.9 ounces with a standard deviation of 2.3 ounces. Does the machine need adjusting? Use an alpha of .05. Assume the data come from a normal distribution. Test the null hypothesis that the true average fill is 18 ounces against the alternative that the true average fill is over 18 ounces. What do you conclude based upon the sample data?

1. A university athletic coach is in debate with an academic dean who is concerned about the amount of time claims that their student athletes spend at practice vs studying. The university athletic coach claims that practice time takes an average of 34 hours per week in practice drills, with a nonzero population standard deviation of ? = 10.7 hours. The academic dean takes a survey of a random sample of n = 36 weekly practice time historic reports which revealed a sample mean time of 39 hours spent on practice drills. Using an alpha of .10, determine if the amount of time spent training for/practicing drills is significantly different from the claim of 34 hours. Test the null hypothesis that the true mean is 34 hours against the alternative hypothesis that the true mean is not equal to 34 hours. Assume that the data are normally distributed. What do you conclude based upon the sample data?

2. A local school superintendent argued that union bus drivers were getting paid an average hourly wage of $17.00. The union representatives argue that the average hourly pay is lower. A sample of 81 bus driver pay stubs revealed that their average hourly wage was $14.00 with a sample standard deviation of $3.00. Using an alpha of .02, determine if the average hourly wage that the true hourly wage is $17.00 against the alternative hypothesis that the true hourly wage is less than $17.00. What do you conclude based upon the sample data?

3. A local school system cafeteria director uses a machine to fill their 18-ounce cans of juice. If the machine performs improperly, it needs to be adjusted. The floor supervisor thinks the machine is overfilling the cans. A sample of 50 cans is found to have an average amount of 20.9 ounces with a standard deviation of 2.3 ounces. Does the machine need adjusting? Use an alpha of .05. Assume the data come from a normal distribution. Test the null hypothesis that the true average fill is 18 ounces against the alternative that the true average fill is over 18 ounces. What do you conclude based upon the sample data?

1. A university athletic coach is in debate with an academic dean who is concerned about the amount of time claims that their student athletes spend at practice vs studying. The university athletic coach claims that practice time takes an average of 34 hours per week in practice drills, with a nonzero population standard deviation of ? = 10.7 hours. The academic dean takes a survey of a random sample of n = 36 weekly practice time historic reports which revealed a sample mean time of 39 hours spent on practice drills. Using an alpha of .10, determine if the amount of time spent training for/practicing drills is significantly different from the claim of 34 hours. Test the null hypothesis that the true mean is 34 hours against the alternative hypothesis that the true mean is not equal to 34 hours. Assume that the data are normally distributed. What do you conclude based upon the sample data?

2. A local school superintendent argued that union bus drivers were getting paid an average hourly wage of 17.00. The union representatives argue that the average hourly pay is lower. A sample of 81 bus driver pay stubs revealed that their average hourly wage was14.00 with a sample standard deviation of 3.00. Using an alpha of .02, determine if the average hourly wage that the true hourly wage is17.00 against the alternative hypothesis that the true hourly wage is less than 17.00. What do you conclude based upon the sample data?

3. A local school system cafeteria director uses a machine to fill their 18-ounce cans of juice. If the machine performs improperly, it needs to be adjusted. The floor supervisor thinks the machine is overfilling the cans. A sample of 50 cans is found to have an average amount of 20.9 ounces with a standard deviation of 2.3 ounces. Does the machine need adjusting? Use an alpha of .05. Assume the data come from a normal distribution. Test the null hypothesis that the true average fill is 18 ounces against the alternative that the true average fill is over 18 ounces. What do you conclude based upon the sample data?

Added by Keith B.

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