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BAD 2323 Ch9 Hwk 1. Ho: m =>10 n = 50 sample mean = 9.46 s=2 a = .05 1 tail Calculate table Zt Calculate

BAD 2323 Ch9 Hwk 1. Ho: m =>10 n = 50 sample mean = 9.46 s=2 a = .05 1 tail Calculate table Zt Calculate Computed Zc Reject or Do not Reject? Calculate p value: What is the critical value? 2. Ho: m <=15 n = 40 sample mean = 16.5 s=7 a = .02 1 tail Calculate table Zt Calculate Computed Zc Reject or Do not Reject? Calculate p value: What is the critical value? 3. Ho: m =>15 n = 40 sample mean = 14 s = 2.40 a = .10 1 tail Calculate table Zt Calculate Computed Zc Reject or Do not Reject? Calculate p value: What is the critical value? 4. Ho: m = 10 n = 36 sample mean = 11 s = 2.5 a = .05 2 tail Calculate table Zt Calculate Computed Zc Reject or Do not Reject? Calculate p value: What is the critical value? 5. Ho: m <=10 n = 16 sample mean = 11 s=7 a = .05 1 tail Calculate table Tt = Calculate Computed Tc = Reject or Do not Reject? What is the critical value? 6. Consider the following sample values: 16 17 18 18 19 20 Ho: m = 20 n=6 a = .05 2 tail Calculate table Tt = Calculate Computed Tc = Reject or Do not Reject? What is the critical value? 7. Ho: p <= .50 n = 200 a = .05 1 tail p = .57 Calculate the Standard Error Calculate Table Zt Calculate Computed Zc Accept or Reject Ho Calculate P value Calculate Critical Value 8. Ho: p = .20 n = 400 a = .05 2 tail p = .175 Calculate the Standard Error Calculate Table Zt Calculate Computed Zc Accept or Reject Ho Calculate P value Calculate Critical Value 9. A production process assumes a population mean of m = 80 Periodically this process is tested. A sample of n = 100 is taken. The standard deviation = 8 The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly. Using this information, calculate alpha risk ( probability of Type I error). 10. A production process assumes a population mean of m = 80 Periodically this process is tested. A sample of n = 100 is taken. The standard deviation = 8 The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly. Using this information, calculate Blpha risk ( probability of Type II error) if the true population mean really is 77. 11. A production process assumes a population mean of m = 80 Periodically this process is tested. A sample of n = 100 is taken. The standard deviation = 8 The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly. Using this information, calculate Blpha risk ( probability of Type II error) if the true population mean really is 79. 12. A production process assumes a population mean of m = 80 Periodically this process is tested. A sample of n = 100 is taken. The standard deviation = 8 The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly. Using this information, calculate Blpha risk ( probability of Type II error) if the true population mean really is 81

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