Final answer:
To determine whether there is evidence that the depth of the grooves produced by the lathe is not 18.5 mm, we can perform a hypothesis test. We state the hypotheses, set the significance level, select the test statistic, formulate the decision rule, calculate the test statistic, make a decision, and state the conclusion.
Step-by-step explanation:
Step 1: State the hypotheses
The null hypothesis, denoted as H0, is that the depth of the grooves produced by the lathe is 18.5 mm. The alternative hypothesis, denoted as Ha, is that the depth of the grooves is not 18.5 mm.
Step 2: Set the significance level
The significance level, also known as alpha (α), is given as 0.05.
Step 3: Select the test statistic
Since we are comparing the mean depth of the grooves, we will use a t-test. The test statistic for a t-test is given by:
t = (sample mean - hypothesized mean) / (sample standard deviation / √n)
Step 4: Formulate the decision rule
Using the significance level of 0.05 and the degrees of freedom (n-1 = 12-1 = 11), we can find the critical value for a two-tailed test from the t-distribution table. The critical value will tell us the range of values that would lead us to reject the null hypothesis.
Step 5: Calculate the test statistic
Using the given sample mean (19.8 mm) and the known standard deviation of the population (1.5 mm), we can substitute these values into the formula for the t-statistic to calculate its value.
Step 6: Make a decision
Compare the calculated test statistic with the critical value. If the calculated test statistic falls outside the range provided by the critical value, we reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.
Step 7: State the conclusion
In this case, we would state the conclusion as follows: There is (not) enough evidence from the sample of 12 parts to support the claim that the depth of the grooves being produced by the lathe is not 18.5 mm.