Questions
Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types...

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...

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...

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).

Claim

Null Hypothesis

Alternative Hypothesis

n

x-bar

s or sigma?

Value

Level of significance

z or t?

Value

df (if none, type NA)

Is it one tailed to the right?

Is it one tailed to the left?

Is it two tailed?

Critical value(s)

Test Ratio

Decision (Reject or Accept the Null Hypothesis)

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...

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...

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...

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...

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...

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...

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...

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.
  • 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 (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.
  • Fuel type means differ significantly, but vehicle size is not a significant factor.

  • Fuel type means differ significantly and vehicle size is also a significant factor.

  • Fuel type means do not differ significantly and vehicle size is not a significant factor.

  • Fuel type means do not differ significantly, but vehicle size is a significant factor.

(d) Which fuel types show a significant difference in average fuel economy? Use the Tukey simultaneous comparisons at α = 0.05.
  • Ethanol 10% and 89 Octane

  • Ethanol 5% and 87 Octane

  • 89 Octane and 91 Octane

  • Ethanol 10% and 91 Octane

In: Math