Parameter:
Null hypothesis: μ = 1.5 (the machines work as needed)
Alternative hypothesis: μ ≠ 1.5 (The machines don't work properly)
Since we don't know the population deviation, we will apply a t-test to compare the actual mean to the reference value
Conditions:
Simple random sample: The problem states the sample was chosen at random.
Independence: You can assume there are more than 10(200) = 2000 screws.
Normality: (200 ≥ 30) the sample is large enough for sampling distribution to assume Normality
Calculations:
Since the conditions are met we will carry out a T-test using a calculator for μ≠μ0
μ = population mean = 1.5
σ= standard dev = 0.204
xbar = sampe mean = 1.521
n = sample size= 200
After adding all of this data into the calculator in the T-test program we get a p-value of 0.147
Conclusion:
We will assume a 0.05 sig level for our conclusion.
Since 0.147 > 0.05 we will fail to reject the null hypothesis meaning that we have enough evidence to show that the machines work as needed.