Question

In: Advanced Math

The downtime per day for a computing facility has mean 4 hours and standard deviation 0.9...

The downtime per day for a computing facility has mean 4 hours and standard deviation 0.9 hour. (a) Suppose that we want to compute probabilities about the average daily downtime for a period of 30 days. (i) What assumptions must be true to use the result of the central limit theorem to obtain a valid approximation for probabilities about the average daily downtime? (Select all that apply.) The daily downtimes must have an approximately normal distribution. The number of daily downtimes must be greater than 30. The daily downtimes must have an expected value greater than their variance. The daily downtimes must have the same expected value and variance. The daily downtimes must be independent and identically distributed random variables. (ii) Under the assumptions described in part (i), what is the approximate probability that the average daily downtime for a period of 30 days is between 1 and 5 hours? (Round your answer to four decimal places.) (b) Under the assumptions described in part (a), what is the approximate probability that the total downtime for a period of 30 days is less than 119 hours? (Round your answer to four decimal places.)

Solutions

Expert Solution

Answer :-

Given that

The mean () = 4

The standard deviation () = 0.9


Related Solutions

4) For a population has a mean of μ = 16 and a standard deviation of...
4) For a population has a mean of μ = 16 and a standard deviation of σ= 8 find the z-score corresponding to a sample mean of M= 20 for each of the following sample sizes. n=4
A road averages 2,895 vehicles per day with a standard deviation of 615 vehicles per day....
A road averages 2,895 vehicles per day with a standard deviation of 615 vehicles per day. A traffic counter was used on this road on 34 days that were randomly selected. a. What is the probability that the sample mean is less than 2,700 vehicles per​ day? b. What is the probability that the sample mean is more than 2,900 vehicles per​ day? c. What is the probability that the sample mean is between 2,800 and 3,000 vehicles per​ day?...
A normal distribution has a mean of 15 and a standard deviation of 4 . Use...
A normal distribution has a mean of 15 and a standard deviation of 4 . Use the? 68-95-99.7 rule to find the percentage of values in the distribution between 15 and 23 .
The commute time X each working day has the mean of 1 hour and standard deviation...
The commute time X each working day has the mean of 1 hour and standard deviation of 0.3 hours. (1) What is the approximate distribution of the average daily commute time for a period of 36 days, by the Central limit theorem? Include the parameters. (2) Find the probability that the average daily commute time for this period is larger than 1.06 hours.
The lifetime of light bulb is normally distributed with mean of 1400 hours and standard deviation of 200 hours.
The lifetime of light bulb is normally distributed with mean of 1400 hours and standard deviation of 200 hours. a. What is the probability that a randomly chosen light bulb will last for more than 1800 hours? b. What percentage of bulbs last between 1350 and 1550 hours? c. What percentage of bulbs last less than 1.5 standard deviations below the mean lifetime or longer than 1.5 standard deviations above the mean? d. Find a value k such that 20% of the bulbs last...
A normal population has a mean of 19 and a standard deviation of 4. Use Appendix...
A normal population has a mean of 19 and a standard deviation of 4. Use Appendix B.3. Compute the z value associated with 23. (Round your answer to 2 decimal places.) What proportion of the population is between 19 and 23? (Round z-score computation to 2 decimal places and your final answer to 4 decimal places.) What proportion of the population is less than 17? (Round z-score computation to 2 decimal places and your final answer to 4 decimal places.)
A normal population has a mean of 61 and a standard deviation of 4. You select...
A normal population has a mean of 61 and a standard deviation of 4. You select a sample of 38. Compute the probability that the sample mean is: (Round your z values to 2 decimal places and final answers to 4 decimal places.) Less than 60. Between 60 and 62. Between 62 and 63. Greater than 63.
The time to process hot-rolled steel has a standard deviation of 0.9 minutes. A sample of...
The time to process hot-rolled steel has a standard deviation of 0.9 minutes. A sample of size 30 is selected which has an average of 5.5 minutes. (a) Find a 99% confidence interval for the mean time to process hot-rolled steel. (b) Find a 95% confidence interval for the mean time to process hot-rolled steel. (c) Find a 90% confidence interval for the mean time to process hot-rolled steel. (d) What happens to the confidence interval as α significance level...
The population mean number of hours a group watched TV was 10.5 with a standard deviation...
The population mean number of hours a group watched TV was 10.5 with a standard deviation of 3.6. A random sample of 36 individuals from the group was selected and the number of hours each watched TV was obtained. Consider the statistic the sample mean number of hours the studied group of 36 watched TV. Question 6 options: 12345678 Consider the statistic the sample mean number of hours the studied group of 36 watched TV. What is the mean of...
Demand for Coca Cola at a local restaurant is 60 bottles per day with a standard deviation of 15 bottles per day.
Demand for Coca Cola at a local restaurant is 60 bottles per day with a standard deviation of 15 bottles per day. a. Compute the probability that demand will be at most 1700 bottles during the next 28 days. b. Compute the number of bottles the restaurant should stock to have at most a 9% chance of running out over the next 28 days.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT