Suppose you need to test the hypothesis H0:=473{"version":"1.1","math":"H_0:\ mu = 473"} against Ha:473{"version":"1.1","math":"H_a :\mu eq 473"}, using a z-statistic. You have a simple random sample of n=11{"version":"1.1","math":"n=11"} measuremen ts, and they are strongly skewed right, with one outlier. You find x=488{"version":"1.1","math":"\bar{x} = 488"} and have read that =37{"version":"1.1","math":"\sigma = 37"}. Are 2.2343the requirements for conducting the test satisfied? Explain.

Question 17 options:

a) Yes. There are enough measurements to be able to treatx{"version":"1.1","math":"\bar{x}"} as though it were normal.

b) Yes. The data are approximately normal.

c) Yes. I have the value of{"version":"1.1","math":"\sigma"}.

d) No. There aren't enough measurements to be able to treat x{"version":"1.1","math":"\bar{x}"} as though it were normal.

e) No. It's not enough to know {"version":"1.1","math":"\sigma"}. I need the standard deviation of my sample.