Answer:
Explanation:
Given that a sprinkler manufacturer claims that the average activating temperatures is at least 132 degrees.
Sample size n =32:
Sample mean x bar =133
population std dev = sigma = 3.3 degrees.
Create null hypotheses:

(One tailed test)
Mean difference =

Since sigma is known we can use z test.
Std error = sigma/sqrt of sample size =

Test statistic = Mean difference/Std error = 1.7142
p value = 0.0433