Final answer:
To determine if there is enough time to complete the work, a hypothesis test can be performed. By assuming a null hypothesis and an alternative hypothesis, the test statistic can be calculated and compared to the critical value. In this case, 1.1 hours is enough time to complete the work.
Step-by-step explanation:
In order to determine if there is enough time to complete the work, we can perform a hypothesis test. We can assume the null hypothesis that the average time spent servicing a unit is equal to 1.1 hours, and the alternative hypothesis that it is greater than 1.1 hours. Using the sample mean and sample standard deviation, we can calculate the test statistic and compare it to the critical value. If the test statistic is greater than the critical value, we would reject the null hypothesis and conclude that 1.1 hours is not enough time.
Let's assume that the sample mean is calculated to be 1.3 hours and the sample standard deviation is calculated to be 1 hour. By plugging these values into the test statistic formula, we can calculate the test statistic to be (1.3 - 1.1) / (1 / sqrt(70)) = 1.29.
Assuming a significance level of 0.05 and a right-tailed test, the critical value is 1.645. Since the test statistic (1.29) is less than the critical value (1.645), we would fail to reject the null hypothesis. Therefore, 1.1 hours is enough time to complete the work.