A company randomly selected nine office employees and secretly monitored their computers for one month. The times (in hours) spent by these employees using their computers for non-job-related activities (playing games, personal communications, etc.) during this month are given below. 7 7 9 8 11 4 14 1 6 Assuming that such times for all employees are normally distributed, make a 95% confidence interval for the corresponding population mean for all employees of this company. Round your answers to two decimal places. Enter your answer; confidence interval, lower bound to Enter your answer; confidence interval, upper bound hours
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
A company randomly selected nine office employees and secretly monitored their computers for one month. The times (in hours) spent by these employees using their computers for non-job-related activities (playing games, personal communications, etc.) during this month are given below.
| 7 | 7 | 9 | 8 | 11 | 4 | 14 | 1 | 6 |
Assuming that such times for all employees are
Round your answers to two decimal places.
Enter your answer; confidence interval, lower bound to Enter your answer; confidence interval, upper bound hours
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