Q1) a sample of 9 yields a computed test statistic for the z test on a mean of 1.35, what is the rejection probability for a one-tailed upper test? Does this imply acceptance or rejection of H0? Why? If this value (1.35) was of the T test on a mean, what would be the rejection probability? why do the two probability differ? Explain

Q2) an electrical firm manufactures light bulbs that have a lifetime that is approximately normally distributed with a mean of 800 hours and a standard deviation of 40 hours. Test the hypothesis that m=800 hours against m is not 800 hours if a random sample of 30 bulbs has an average of 788 hours. Use a 0.04 level of significance