Engineers are testing company fleet vehicle fuel economy (miles
per gallon) performance by using different types of fuel. One
vehicle of each size is tested. Does this sample provide sufficient
evidence to conclude that there is a significant difference in
treatment means?
| 87 Octane | 89 Octane | 91 Octane | Ethanol 5% | Ethanol 10% | |
| Compact | 31.2 | 31.6 | 22.0 | 29.7 | 30.6 |
| Mid-Size | 17.3 | 17.6 | 18.9 | 17.2 | 28.2 |
| Full-Size | 27.2 | 28.1 | 15.9 | 31.9 | 29.7 |
| SUV | 20.0 | 22.0 | 20.7 | 23.6 | 31.4 |
(a) Choose the correct statement.
Fuel type is the blocking factor and vehicle size is the treatment.
Fuel type is the treatment and vehicle size is the blocking factor.
(b) Fill in the boxes. (Round your SS
values to 3 decimal places, F values to 2 decimal places,
and other answers to 4 decimal places.)
| Two-Factor ANOVA | |||||
| Source | SS | df | MS | F | p-value |
| Treatments (Fuel Type) | |||||
| Blocks (Vehicle Size) | |||||
| Error | |||||
| Total | |||||
| Group | Mean | n | Std. Dev |
| 87 Octane | |||
| 89 Octane | |||
| 91 Octane | |||
| Ethanol 5% | |||
| Ethanol 10% | |||
| Compact | |||
| Mid-Size | |||
| Full-Size | |||
| SUV | |||
| Total | |||
(c) Choose the correct statement. Use α =
0.05.
Fuel type means differ significantly and vehicle size is also a significant factor.
Fuel type means do not differ significantly, but vehicle size is a significant factor.
Fuel type means differ significantly, but vehicle size is not a significant factor.
Fuel type means do not differ significantly and vehicle size is not a significant factor.
(d) Which fuel types show a significant difference in
average fuel economy? Use α = 0.05. (You may select more
than one answer. Click the box with a check mark for the correct
answer and click to empty the box for the wrong
answer.)
Ethanol 10% and 87 Octane
Ethanol 5% and 89 Octane
87 Octane and 91 Octane
Ethanol 10% and 91 Octane
In: Statistics and Probability
When speed limits were increased from 55 to 65 miles per hour a news item appeared in the Chicago Tribune, which showed that deaths on Illinois highways increased since the speed limits were raised to 65 mph. (a) Assuming that the faster speed caused the deaths, does this prove that cost-benefit analysis was not used in the decision to return to the 65 mph speed limit. (b) What is being implied if we do not go back to the 55 mph limit?
In: Economics
A credit card company wondered whether giving frequent flier miles for every purchase would increase card usage. The population mean had been $2500 per year. A simple random sample of 22 credit card customers found the sample mean to be $2542 with a standard deviation of $110. Test the claim that the credit card mean usage for the population is now different than $2500 per year. (use the traditional approach).
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Claim |
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|
Null Hypothesis |
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Alternative Hypothesis |
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|
n |
||||
|
x-bar |
||||
|
s or sigma? |
Value |
|||
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Level of significance |
||||
|
z or t? |
Value |
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df (if none, type NA) |
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Is it one tailed to the right? |
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Is it one tailed to the left? |
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Is it two tailed? |
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Critical value(s) |
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Test Ratio |
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Decision (Reject or Accept the Null Hypothesis) |
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Conclusion (Is there enough evidence to support the claim?) Yes or No? |
||||
In: Statistics and Probability
| Annual depreciation | $ | 3,000 | Annual mileage | 14,640 | ||
| Current year's loan interest | $ | 710 | Miles per gallon | 24 | ||
| Insurance | $ | 860 | License and registration fees | $ | 125 | |
| Average gasoline price | $ | 3.50 | per gallon | Oil changes/repairs | $ | 730 |
| Parking/tolls | $ | 660 | ||||
| a. | Calculate total annual operating cost of the motor vehicle. |
| Total variable cost | $ | |
| Total fixed cost | $ | |
| Total annual operating cost | $ | |
| b. | Calculate operating cost per mile. (Enter your answer in cents rounded to 1 decimal place.) |
| Operating cost per mile | cents |
In: Accounting
A car company advertises that thir Super Spiffy Sedan averages 29mpg (miles per gallon). You randomly select a sample of Super Spiffies from local car dealerships and test their gas mileage under similar conditions.
You get the following MPG scores:
33 27 32 34 34 28 27 31
Note: SSx = 63.50
Using alpha =.01, conduct the 8 steps to hypothesis testing to determine whether the actual gas mileage for these cars differs significantly from 29mpg.
In: Statistics and Probability
Engineers are testing company fleet vehicle fuel economy (miles
per gallon) performance by using different types of fuel. One
vehicle of each size is tested. Does this sample provide sufficient
evidence to conclude that there is a significant difference in
treatment means?
| 87 Octane | 89 Octane | 91 Octane | Ethanol 5% | Ethanol 10% | |
| Compact | 30.8 | 28.4 | 17.7 | 30.7 | 31.1 |
| Mid-Size | 17.0 | 19.9 | 20.1 | 17.1 | 31.4 |
| Full-Size | 28.9 | 29.0 | 20.4 | 27.0 | 31.3 |
| SUV | 21.9 | 22.8 | 19.5 | 18.7 | 29.6 |
(b) Fill in the boxes. (Round your SS
values to 3 decimal places, F values to 2 decimal places,
and other answers to 4 decimal places.)
| Two-Factor ANOVA | |||||
| Source | SS | df | MS | F | p-value |
| Treatments (Fuel Type) | |||||
| Blocks (Vehicle Size) | |||||
| Error | |||||
| Total | |||||
| Group | Mean | n | Std. Dev |
| 87 Octane | |||
| 89 Octane | |||
| 91 Octane | |||
| Ethanol 5% | |||
| Ethanol 10% | |||
| Compact | |||
| Mid-Size | |||
| Full-Size | |||
| SUV | |||
| Total | |||
In: Statistics and Probability
Engineers are testing company fleet vehicle fuel economy (miles
per gallon) performance by using different types of fuel. One
vehicle of each size is tested. Does this sample provide sufficient
evidence to conclude that there is a significant difference in
treatment means?
| 87 Octane | 89 Octane | 91 Octane | Ethanol 5% | Ethanol 10% | |
| Compact | 30.8 | 28.4 | 17.7 | 30.7 | 31.1 |
| Mid-Size | 17.0 | 19.9 | 20.1 | 17.1 | 31.4 |
| Full-Size | 28.9 | 29.0 | 20.4 | 27.0 | 31.3 |
| SUV | 21.9 | 22.8 | 19.5 | 18.7 | 29.6 |
Click here for the Excel Data File
(a) Choose the correct statement.
Fuel type is the blocking factor and vehicle size is the treatment.
Fuel type is the treatment and vehicle size is the blocking factor.
(b) Fill in the boxes. (Round your SS
values to 3 decimal places, F values to 2 decimal places,
and other answers to 4 decimal places.)
| Two-Factor ANOVA | |||||
| Source | SS | df | MS | F | p-value |
| Treatments (Fuel Type) | Not attempted | Not attempted | Not attempted | Not attempted | Not attempted |
| Blocks (Vehicle Size) | Not attempted | Not attempted | Not attempted | Not attempted | Not attempted |
| Error | Not attempted | Not attempted | Not attempted | ||
| Total | Not attempted | Not attempted | |||
| Group | Mean | n | Std. Dev |
| 87 Octane | Not attempted | Not attempted | Not attempted |
| 89 Octane | Not attempted | Not attempted | Not attempted |
| 91 Octane | Not attempted | Not attempted | Not attempted |
| Ethanol 5% | Not attempted | Not attempted | Not attempted |
| Ethanol 10% | Not attempted | Not attempted | Not attempted |
| Compact | Not attempted | Not attempted | Not attempted |
| Mid-Size | Not attempted | Not attempted | Not attempted |
| Full-Size | Not attempted | Not attempted | Not attempted |
| SUV | Not attempted | Not attempted | Not attempted |
| Total | Not attempted | Not attempted | Not attempted |
(c) Choose the correct statement. Use α =
0.05.
Fuel type means differ significantly and vehicle size is also a significant factor.
Fuel type means do not differ significantly, but vehicle size is a significant factor.
Fuel type means differ significantly, but vehicle size is not a significant factor.
Fuel type means do not differ significantly and vehicle size is not a significant factor.
(d) Which fuel types show a significant difference in
average fuel economy? Use α = 0.01. (You may select more
than one answer. Click the box with a check mark for the correct
answer and click to empty the box for the wrong
answer.)
Ethanol 10% and Ethanol 5%
89 Octane and 87 Octane
Ethanol 5% and 91 Octane
Ethanol 10% and 91 Octane
In: Statistics and Probability
Let’s return to Tuftsville (Chapter 10) where everyone lives along Main Street, which is 10 miles long. There are 1,000 people uniformly spread up and down Main Street, and every day they each buy fruit smoothie from one of the two stores located at either end of the street. Customers ride their motor scooters to and from the store, using $0.50 worth of gas per mile. Customers buy their smoothies from the store offering the lowest price, which is the store’s price plus the customer’s travel expenses getting to and from the store. Ben owns the store at the west end of Main Street and Will owns the store at the east end of Main Street. The marginal cost of a smoothie is constant and equal to $1 for both Ben and Will. In addition, each of them pays Tuftsville $250 per day for the right to sell smoothies.
a. Ben sets his price p1 first and then Will sets his price p2. After the prices are posted consumers get on their scooters and buy from the store with the lowest price including travel expenses. What prices will Ben and Will set?
b. How many customers does each store serve and what are their profits?
In: Economics
QUESTION 48
Mason, a stockbroker, runs two miles every day after work because it reduces his level of stress. Mason's running habit is maintained by a ________ reinforcer.
| A. |
partial |
|
| B. |
negative |
|
| C. |
positive |
|
| D. |
conditioned |
1 points
QUESTION 49
John is displaying behavior problems in his third grade classroom. He becomes disruptive whenever called to reading group. His teacher sends him down to the principal's office for discipline. His disruptions continue. A functional behavioral assessment on John, who has yet undiagnosed dyslexia, identifies being sent to the principal as a ______________.
| A. |
Positive reinforcement |
|
| B. |
Punishment |
|
| C. |
Negative reinforcement |
|
| D. |
Conditioned stimulus |
1 points
QUESTION 50
Every Saturday morning, Arnold quickly washes the family's breakfast dishes so that his father will allow him to wash his car. In this instance, washing the car is a(n)
| A. |
negative reinforcer. |
|
| B. |
conditioned response. |
|
| C. |
positive reinforcer. |
|
| D. |
unconditioned response. |
1 points
QUESTION 51
After one chimpanzee sees a second chimp open a box that contains a food reward, the first animal opens a similar box with great speed. This best illustrates
| A. |
higher-order conditioning. |
|
| B. |
respondent behavior. |
|
| C. |
observational learning. |
|
| D. |
spontaneous recovery. |
1 points
QUESTION 52
Pets who learn that the sound of an electric can opener signals the arrival of their food illustrate
| A. |
observational learning. |
|
| B. |
spontaneous recovery. |
|
| C. |
classical conditioning. |
|
| D. |
operant conditioning. |
1 points
QUESTION 53
Some information in our fleeting ________ is encoded into short-term memory.
| A. |
sensory memory |
|
| B. |
automatic memory |
|
| C. |
long-term memory |
|
| D. |
shallow memory |
In: Psychology
|
Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types of fuel. One vehicle of each size is tested. Does this sample provide sufficient evidence to conclude that there is a significant difference in treatment means? |
| 87 Octane | 89 Octane | 91 Octane | Ethanol 5% | Ethanol 10% | |
| Compact | 32.0 | 29.1 | 20.3 | 30.8 | 27.7 |
| Mid-Size | 18.1 | 19.7 | 18.9 | 19.9 | 27.7 |
| Full-Size | 27.0 | 27.2 | 20.9 | 31.4 | 31.7 |
| SUV | 22.2 | 19.1 | 21.1 | 18.4 | 31.7 |
| (a) | Choose the correct statement. |
|
| (b) | Fill in the boxes. (Round your SS values to 3 decimal places, F values to 2 decimal places, and other answers to 4 decimal places.) |
| Two-Factor ANOVA | |||||
| Source | SS | df | MS | F | p-value |
| Treatments (Vehicle Size) | |||||
| Blocks (Fuel Type) | |||||
| Error | |||||
| Total | |||||
| Group | Mean | n | Std. Dev |
| 87 Octane | |||
| 89 Octane | |||
| 91 Octane | |||
| Ethanol 5% | |||
| Ethanol 10% | |||
| Compact | |||
| Mid-Size | |||
| Full-Size | |||
| SUV | |||
| Total | |||
| (c) | Choose the correct statement. Use α = 0.05. |
|
| (d) | Which fuel types show a significant difference in average fuel economy? Use the Tukey simultaneous comparisons at α = 0.05. |
|
In: Math