Answer:
Step-by-step 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:
[tex]H_0: x bar = 132\\H_a: x bar \geq 132[/tex]
(One tailed test)
Mean difference = [tex]133-132=1[/tex]
Since sigma is known we can use z test.
Std error = sigma/sqrt of sample size = [tex]\frac{3.3}{\sqrt{32} } \\=0.5834[/tex]
Test statistic = Mean difference/Std error = 1.7142
p value = 0.0433