Answer:
If the observed sample mean is greater than 17.07 minutes, then we would reject the null hypothesis.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = 15 minutes
Sample size, n = 10
Alpha, α = 0.05
Population standard deviation, σ = 4 minutes
First, we design the null and the alternate hypothesis
Since the population standard deviation is given, we use one-tailed z test to perform this hypothesis.
Formula:
Now,
Thus, we would reject the null hypothesis if the z-statistic is greater than this critical value.
Thus, we can write:

Thus, the decision rule would be if the observed sample mean is greater than 17.07 minutes, then we would reject the null hypothesis.
Answer:
There is evidence to prove that mean is less than 60 hours.
Step-by-step explanation:
Given that the mean work week for engineers in a start-up company is believed to be about 60 hours.
Sample size taken = 10

(left tailed test )
Data (length of mean work week): 70; 45; 55; 60; 65; 55; 55; 60; 50; 55.

Mean difference = -3
Test statistic t =mean differene/std error
= -20.72
p value <0.00001
Since p < 0.05 at 5% level we reject H0
There is evidence to prove that mean is less than 60 hours.
First, factor the left side:

This can be simplified using

where the csc term is x and the cot term is y:

One of our Pythagorean Identities states that:

So the left side is now:

Now we can use the same Pythagorean Identity to change the right side to:

All we did was express 1 in terms of csc and cot.
Distribute the negative:

Combine like terms:

Now the left and right sides are the same.