Each of the five (5) workers in a factory is being paid $250 per day. For every unit produced in excess of 25 units in one day, a worker is paid $12. Fixed factory overhead per annum is $198,000 and there are approximately 330 working days in one year. Production data for July 6 and 7, 20C show the following number of units produced by each worker: July 6 = Cass - 25, Jen - 27, Owen - 24, Henry - 24, Miles - 28; July 7 = Cass - 26, Jen - 26, Owen - 28, Henry - 27, Miles - 26. What is the average direct labor cost per unit for the two-day period?
In: Accounting
City Mileage, Highway Mileage. We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1137 vehicles in the government's 2013 Fuel Economy Guide give the regression line
highway mpg = 6.785 + (1.033 x city mpg)
for predicting highway mileage from city mileage.
(a) What is the slope of this line? Say in words what the numerical value of the slope tells you.
(b) What is the intercept? Explain why the value of the intercept is not statistically meaningful.
(c) Find the predicted highway mileage for a car that gets 16 miles per gallon in the city. Do the same for a car with city mileage of 28 mpg.
In: Math
Use your calculator to determine the probabilities. State what you put in for the lower limit, upper limit, mean and standard deviation.
1. Maple tree diameters in a forest area are normally distributed with mean 10 inches and standard deviation 2.5 inches. Find the percentage of trees having a diameter greater than 17 inches
2.White blood cell (WBC) count per cubic millimeter of whole blood follows approximately a Normal distribution with mean 7500 and standard deviation 1750. What percentage of people have WBC between 7500 and 8500?
3. Lifetimes of a certain brand of tires is approximately normally distributed with mean 40,500 miles and standard deviation 3,500 miles. What percentage of tires will last more than 50,000 miles?
4. The incomes of a set of factory workers happen to be normally distributed. The average income is $53,000 and the standard deviation is $5,000
In: Statistics and Probability
|
Predicted percentage between 40 and 70 ______________________________ Actual percentage _____________________________________________ Predicted percentage more than 70 miles ________________________________ Actual percentage ___________________________________________ Comparison ____________________________________________________ _______________________________________________________________ Why? __________________________________________________________ ________________________________________________________________ |
| Drive (miles) |
| 4 |
| 6 |
| 20 |
| 20 |
| 25 |
| 25 |
| 25 |
| 28 |
| 29 |
| 33 |
| 36 |
| 36 |
| 36 |
| 36 |
| 36 |
| 40 |
| 42 |
| 54 |
| 55 |
| 63 |
| 63 |
| 71 |
| 73 |
| 73 |
| 76 |
| 76 |
| 76 |
| 78 |
| 80 |
| 80 |
| 80 |
| 88 |
| 88 |
| 94 |
| 94 |
| 52.54285714 |
| 26.57325375 |
| 0.318459615 |
| 0.318459615 |
| 0.318459615 |
In: Statistics and Probability
1)Thirty-eight percent of consumers prefer to purchase electronics online. You randomly select 16 consumers. Find the probability that the number who prefer to purchase electronics online is at most 5.
2)The speed of cars on a stretch of road is normally distributed with an average 42 miles per hour with a standard deviation of 5.9 miles per hour. What is the probability that a randomly selected car is violating the speed limit of 50 miles per hour?
3) A survey indicates that shoppers spend an average of 26 minutes with a standard deviation of 16 minutes in your store and that these times are normally distributed. Find the probability that a randomly selected shopper will spend less than 20 minutes in the store.
4) The monthly utility bills in a city are normally distributed with a mean of $121 and a standard deviation of $23. Find the probability that a randomly selected utility bill is between $115 and $130.
5) A restaurant serves hot chocolate that has a mean temperature of 175 degrees with a standard deviation of 8.1 degrees. Find the probability that a randomly selected cup of hot chocolate would have a temperature of less than 161 degrees. Would this outcome warrant a replacement cup (meaning that it would be unusual)?
In: Statistics and Probability
Clifford Delivery Company purchased a new delivery truck for $72,000 on April 1, 2019. The truck is expected to have a service life of 5 years or 90,000 miles and a residual value of $3,000. The truck was driven 8,000 miles in 2019 and 20,000 miles in 2020. Clifford computes depreciation expenses to the nearest whole month.
Required:
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
In: Accounting
Use your calculator to determine the probabilities. State what you put in for the lower limit, upper limit, mean and standard deviation.
1. Maple tree diameters in a forest area are normally distributed with mean 10 inches and standard deviation 2.2 inches. Find the percentage of trees having a diameter greater than 15 inches
2.White blood cell (WBC) count per cubic millimeter of whole blood follows approximately a Normal distribution with mean 7500 and standard deviation 1750. What percentage of people have WBC between 7000 and 8000?
3. Lifetimes of a certain brand of tires is approximately normally distributed with mean 42,500 miles and standard deviation 3,200 miles. What percentage of tires will last more than 50,000 miles?
4. The incomes of a set of factory workers happen to be normally distributed. The average income is $53,000 and the standard deviation is $9,000
What is the probability that a randomly selected employee makes more than $65,000?
What is the probability that the average of 4 randomly selected employees makes more than $65,000
What is the probability that the average of 12 randomly selected employees makes more than $65,000?
In: Statistics and Probability
| Distance from dump (miles) of cancer patient | ||
| 0.5 | ||
| 0.7 | ||
| 0.95 | ||
| 1.3 | ||
| 1.55 | ||
| 1.7 | ||
| 1.9 | ||
| 2.15 | ||
| 2.25 | ||
| 2.8 | ||
| 3.2 | ||
| 4.2 | ||
| 4.35 | ||
| 4.45 | ||
| 5.25 | ||
| 6.35 | ||
| 7.1 | ||
| 8.2 | ||
| 8.25 | ||
| 9.35 | ||
| 10.1 | ||
| 12.15 | ||
| 13.95 | ||
| 15.15 | ||
| 16.6 | ||
| 16.95 | ||
| 17.2 | ||
| 17.45 | ||
| 19.15 | ||
You suspect that townsfolk near Gloomsville are getting cancer because of a new toxic waste dump built in town. So, suspecting this is in the water, you look at cancer rates up to 20 miles downstream from the dump site. Is cancer evenly distributed along those 20 miles? The data to answer this question are in the table above.
I will have to solve this using Excel. Specifically what should I do? What functions could I use? For the question, I have to
1. A null and alternative hypothesis stated, as appropriate and for each hypothesis tested. may involve several hypothesis tests.
2. Choose the most appropriate test. Explain how you have met the assumptions of the test or why the test is robust to violations of the assumptions.
3. State explicitly what test(s) you are using.
4. If you fail to reject the null hypothesis, calculate the power of the test.
In: Statistics and Probability
Depreciation for Partial Periods
Storm Delivery Company purchased a new delivery truck for $66,000 on April 1, 2019. The truck is expected to have a service life of 5 years or 90,000 miles and a residual value of $3,000. The truck was driven 12,000 miles in 2019 and 14,000 miles in 2020. Storm computes depreciation expense to the nearest whole month.
Required:
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
In: Accounting
Bar Delivery Company purchased a new delivery truck for $36,000 on April 1, 2019. The truck is expected to have a service life of 5 years or 120,000 miles and a residual value of $3,000. The truck was driven 10,000 miles in 2019 and 18,000 miles in 2020. Bar computes depreciation expense to the nearest whole month.
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
| 2019 | $ |
| 2020 | $ |
In: Accounting