Final answer:
To test the hypothesis that the mean maintenance time for machine 1 is less than machine 2, we can use a one-sample t-test. This involves defining the null and alternative hypothesis, calculating the sample means and standard deviations, calculating the t-statistic, finding the critical value, and interpreting the results.
Step-by-step explanation:
This question is related to hypothesis testing for means. To test the hypothesis that the mean maintenance time for machine 1 is less than that of machine 2, we can use a one-sample t-test. Here are the steps:
- Define the null and alternative hypothesis:
Null hypothesis (H0): The mean maintenance time for machine 1 is greater than or equal to machine 2. Alternative hypothesis (Ha): The mean maintenance time for machine 1 is less than machine 2. - Calculate the sample means for machine 1 and machine 2.
- Calculate the sample standard deviations for machine 1 and machine 2.
- Calculate the t-statistic using the formula: t = (mean1 - mean2) / √((s12)/n1 + (s22)/n2), where mean1 and mean2 are the sample means, s1 and s2 are the sample standard deviations, and n1 and n2 are the sample sizes.
- Find the critical value for the desired significance level and degrees of freedom. Compare the t-statistic to the critical value to determine if the null hypothesis should be rejected.
- Interpret the results and conclude whether there is evidence to support the hypothesis that the mean maintenance time for machine 1 is less than machine 2.