It is desired to test H0: μ = 10 against H1: μ 10 using α = 0.05. The population in question is normally distributed with a standard deviation of 15. A random sample of 100 will be drawn from this population. If μ is really equal to 9.9, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?

I'm so close to finishing all these.

The administrator of a large assisted living facility wanted to know the average age of the residents living at the facility. he randomly selected 12 residents and determined their age, listed here: 80, 65, 75, 83, 68, 73, 88, 79, 94, 72, 79, 68 what's the average age of the sample of residents? a. 79 years old b. 68 years old c. 75 years old d. 77 years old

How do you write something in scientific notation?