Suppose a certain magazine evaluates products for consumers. The following table contains data for 15 compact sports utility vehicles (SUVs) from a certain year.

• Vehicle—name of vehicle
• Overall score—awarded based on a variety of measures, including those in this data set
• Recommended—Consumer Reports recommends the vehicle or not
• Owner satisfaction—satisfaction on a five-point scale based on the percentage of owners who would purchase the vehicle again (−−, −, 0, +, ++)
• Overall miles per gallon–miles per gallon achieved in a 150-mile test trip
• Acceleration (0–60 sec)—time in seconds it takes vehicle to reach 60 miles per hour from a standstill with the engine idling

(a) How many variables are in the data set?

(b) Which of the variables are categorical? (Select all that apply.)

Overall Score

Recommended

Owner Satisfaction

Overall Miles Per Gallon

Acceleration (0–60) Sec

Which of the variables are quantitative? (Select all that apply.)

Overall Score

Recommended

Owner Satisfaction

Overall Miles Per Gallon

Acceleration (0–60) Sec

(c) What percentage of these 15 vehicles are recommended? (Round your answer to the nearest percent.)

%

(d) What is the average of the overall miles per gallon across all 15 vehicles? (Round your answer to one decimal place.)

miles per gallon

(e) For owner satisfaction, construct a bar chart showing the percentage frequency for each of the owner satisfaction ratings.

A.

A graph has a horizontal axis labeled "Owner Satisfaction" and a vertical axis labeled "Percent Frequency" with values from 0 to 50. The bar graph has 5 bars. Each bar is associated with a label and an approximate value as listed below.

• −−: 0
• −: 13.3
• 0: 40
• +: 20
• ++: 26.7

B.

A graph has a horizontal axis labeled "Owner Satisfaction" and a vertical axis labeled "Percent Frequency" with values from 0 to 50. The bar graph has 5 bars. Each bar is associated with a label and an approximate value as listed below.

• −−: 0
• −: 13.3
• 0: 20
• +: 26.7
• ++: 40

C.

A graph has a horizontal axis labeled "Owner Satisfaction" and a vertical axis labeled "Percent Frequency" with values from 0 to 50. The bar graph has 5 bars. Each bar is associated with a label and an approximate value as listed below.

• −−: 0
• −: 13.3
• 0: 20
• +: 40
• ++: 26.7

D.

A graph has a horizontal axis labeled "Owner Satisfaction" and a vertical axis labeled "Percent Frequency" with values from 0 to 50. The bar graph has 5 bars. Each bar is associated with a label and an approximate value as listed below.

• −−: 0
• −: 26.7
• 0: 40
• +: 20
• ++: 13.3

(f) Show the frequency distribution for acceleration using the following intervals: 7.0–7.9, 8.0–8.9, 9.0–9.9, and 10.0–10.9. Construct a histogram showing the frequencies of each interval.

A.

A graph has a horizontal axis labeled "Acceleration (0-60) Sec" and a vertical axis labeled "Frequency" with values from 1 to 7. The bar graph has 4 bars. Each bar is associated with a label and an approximate value as listed below.

• 7.0–7.9: 1
• 8.0–8.9: 5
• 9.0–9.9: 3
• 10.0–10.9: 6

B.

A graph has a horizontal axis labeled "Acceleration (0-60) Sec" and a vertical axis labeled "Frequency" with values from 1 to 7. The bar graph has 4 bars. Each bar is associated with a label and an approximate value as listed below.

• 7.0–7.9: 1
• 8.0–8.9: 3
• 9.0–9.9: 5
• 10.0–10.9: 6

C.

A graph has a horizontal axis labeled "Acceleration (0-60) Sec" and a vertical axis labeled "Frequency" with values from 1 to 7. The bar graph has 4 bars. Each bar is associated with a label and an approximate value as listed below.

• 7.0–7.9: 1
• 8.0–8.9: 5
• 9.0–9.9: 3
• 10.0–10.9: 4

D.

A graph has a horizontal axis labeled "Acceleration (0-60) Sec" and a vertical axis labeled "Frequency" with values from 1 to 7. The bar graph has 4 bars. Each bar is associated with a label and an approximate value as listed below.

• 7.0–7.9: 1
• 8.0–8.9: 3
• 9.0–9.9: 4
• 10.0–10.9: 5

In 1955, Life Magazine reported that a 25-year-old mother of three worked, on average, an 80 hour week. Recently, many groups have been studying whether or not the women's movement has, in fact, resulted in an increase in the average work week for women (combining employment and at-home work). Suppose a study was done to determine if the mean work week has increased. 80women were surveyed with the following results. The sample mean was 83; the sample standard deviation was 10. Does it appear that the mean work week has increased for women at the 5% level?

Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)

1. What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.)

2. What is the p-value?

p-value < 0.0100.010 < p-value < 0.050     0.050 < p-value < 0.100p-value > 0.100

Explain what the p-value means for this problem. If H₀  is false, then there is a chance equal to the p-value that the average number of hours women work each week is 83 hours. or more. If

H₀ is false, then there is a chance equal to the p-value that the average number of hours women work each week is not 83 hours or more.     If H₀ is true, then there is a chance equal to the p-value that the average number of hours women work each week is not 83 hours or more. If H₀ is true, then there is a chance equal to the p-value that the average number of hours women work each week is 83 hours or more.

3. Sketch a picture of this situation. Label and scale the horizontal axis and shade the region(s) corresponding to the p-value.

4. Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion.

(i) Alpha (Enter an exact number as an integer, fraction, or decimal.)
α =  

(ii) Decision:

reject the null hypothesisdo not reject the null hypothesis     

(iii) Reason for decision:

Since α < p-value, we reject the null hypothesis.Since α > p-value, we do not reject the null hypothesis.     Since α < p-value, we do not reject the null hypothesis.Since α > p-value, we reject the null hypothesis.

(iv) Conclusion:

There is sufficient evidence to conclude that the average number of hours women work each week is more than 80 hours.There is not sufficient evidence to conclude that the average number of hours women work each week is more than 80 hours

4. Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your lower and upper bounds to two decimal places.)

A magazine subscriber study asked, "In the past 12 months, when traveling for business, what type of airline ticket did you purchase most often?" A second question asked if the type of airline ticket purchased most often was for domestic or international travel. Sample data obtained are shown in the following table.

(a)

Using a 0.05 level of significance, is the type of ticket purchased independent of the type of flight?

State the null and alternative hypotheses.

H₀: The type of ticket purchased is not independent of the type of flight.
H_a: The type of ticket purchased is independent of the type of flight.

H₀: The type of ticket purchased is not mutually exclusive from the type of flight.
H_a: The type of ticket purchased is mutually exclusive from the type of flight.    

H₀: The type of ticket purchased is independent of the type of flight.
H_a: The type of ticket purchased is not independent of the type of flight.

H₀: The type of ticket purchased is mutually exclusive from the type of flight.
H_a: The type of ticket purchased is not mutually exclusive from the type of flight.

Find the value of the test statistic. (Round your answer to three decimal places.)

I came up with 100.484 but this is incorrect

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are independent.

Reject H₀. We conclude that the type of ticket purchased is independent of the type of flight.    

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are not independent.

Reject H₀. We conclude that the the type of ticket purchased is not independent of the type of flight.

(b)

Discuss any dependence that exists between the type of ticket and type of flight.

A higher percentage of first class and business class tickets are purchased for international flights compared to domestic flights. Economy class tickets are purchased more for domestic flights.

A lower percentage of economy class tickets are purchased for domestic flights compared to international flights. First class and business class tickets are purchased more for domestic flights.   

A higher percentage of first class and business class tickets are purchased for domestic flights compared to international flights. Economy class tickets are purchased more for international flights.

The type of ticket purchased is independent of the type of flight.

Three media options are available to Kernan Services Corporation: radio, TV, and magazine. The following table provides the important information.

The exposure value is the measure of the number of people exposed to the advertisement and is derived from market research studies. The company would like to achieve a total exposure value of at least 90,000. Note that advertisements must be bought in whole numbers. What is the minimum cost that can achieve this goal?

A magazine subscriber study asked, "In the past 12 months, when traveling for business, what type of airline ticket did you purchase most often?" A second question asked if the type of airline ticket purchased most often was for domestic or international travel. Sample data obtained are shown in the following table.

(a)Using a 0.05 level of significance, is the type of ticket purchased independent of the type of flight?

State the null and alternative hypotheses.

H₀: The type of ticket purchased is not independent of the type of flight.
H_a: The type of ticket purchased is independent of the type of flight.H₀: The type of ticket purchased is not mutually exclusive from the type of flight.
H_a: The type of ticket purchased is mutually exclusive from the type of flight.    H₀: The type of ticket purchased is independent of the type of flight.
H_a: The type of ticket purchased is not independent of the type of flight.H₀: The type of ticket purchased is mutually exclusive from the type of flight.
H_a: The type of ticket purchased is not mutually exclusive from the type of flight.

Find the value of the test statistic. (Round your answer to three decimal places.)

Please explain how to get test statistic on excel and by hand.

Find the p-value. (Round your answer to four decimal places.)

Please explain how to get test statistic on excel or by hand.

p-value =

State your conclusion.

Reject H₀. We conclude that the type of ticket purchased is independent of the type of flight.

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are independent.    

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are not independent.

Reject H₀. We conclude that the the type of ticket purchased is not independent of the type of flight.

(b)

Discuss any dependence that exists between the type of ticket and type of flight.

The type of ticket purchased is independent of the type of flight.

A higher percentage of first class and business class tickets are purchased for international flights compared to domestic flights. Economy class tickets are purchased more for domestic flights.    

A higher percentage of first class and business class tickets are purchased for domestic flights compared to international flights. Economy class tickets are purchased more for international flights.

A lower percentage of economy class tickets are purchased for domestic flights compared to international flights. First class and business class tickets are purchased more for domestic flights.

A magazine subscriber study asked, "In the past 12 months, when traveling for business, what type of airline ticket did you purchase most often?" A second question asked if the type of airline ticket purchased most often was for domestic or international travel. Sample data obtained are shown in the following table.

(a)

Using a 0.05 level of significance, is the type of ticket purchased independent of the type of flight?

State the null and alternative hypotheses.

H₀: The type of ticket purchased is not independent of the type of flight.
H_a: The type of ticket purchased is independent of the type of flight.

H₀: The type of ticket purchased is independent of the type of flight.
H_a: The type of ticket purchased is not independent of the type of flight.      

H₀: The type of ticket purchased is not mutually exclusive from the type of flight.
H_a: The type of ticket purchased is mutually exclusive from the type of flight.

H₀: The type of ticket purchased is mutually exclusive from the type of flight.
H_a: The type of ticket purchased is not mutually exclusive from the type of flight.

Find the value of the test statistic. (Round your answer to three decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Reject H₀. We conclude that the the type of ticket purchased is not independent of the type of flight.

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are not independent.    

Do not reject H₀. We cannot conclude that the type of ticket purchased and the type of flight are independent.

Reject H₀. We conclude that the type of ticket purchased is independent of the type of flight.

(b)

Discuss any dependence that exists between the type of ticket and type of flight.

A higher percentage of first class and business class tickets are purchased for domestic flights compared to international flights. Economy class tickets are purchased more for international flights.

The type of ticket purchased is independent of the type of flight.     

A higher percentage of first class and business class tickets are purchased for international flights compared to domestic flights. Economy class tickets are purchased more for domestic flights.

A lower percentage of economy class tickets are purchased for domestic flights compared to international flights. First class and business class tickets are purchased more for domestic flights.

Research newspaper or magazine articles related to crime using the print or online news media.

Select two articles or news stories and apply at least two theories from the biological, psychological, and/or sociological perspectives to each article or news story.

Write an analysis of each article or news story addressing the following:

What is the purpose of the story as you perceive it?

How is crime or criminal justice portrayed?

What feelings or reactions are evoked in you by the article?

How would you explain the reported criminal behavior using the two theories you selected? Explain your choice of theory.

Give complete citation for the selected article and include a digital copy if possible.

2)​The Spurling Group is considering using magazine outlets to advertise their online Web site. The company has identified seven publishers. Each publisher breaks down its subscriber base into a number of groups based on demographics and location. These data are shown in the following table:

The company has set a budget of $25,000 for advertising and wants to maximize the number of subscribers exposed to their ads. However, publishers B and D are competitors and only one of these may be chosen. A similar situation exists with publishers C and G.

​Formulate and solve an integer optimization model to determine which publishers to select and how many groups to purchase for each publisher.

ACC1111- homework
Read chapters 6 and 7. Answer the illustrative problem on page 316, only answer part 1 and omit the entry for May 25th.

Illustrative problem page 316

The following transactions were completed by Montrose Company during May of the current year. Montrose Company uses a perpetual inventory system.
May   
3.Purchased merchandise on account from Floyd Co., $4,000, terms FOB shipping point, 2/10, n/30, with prepaid freight of $120 added to the invoice.

4. Purchased merchandise on account from Kramer Co., $8,500, terms FOB destination, 1/10, n/30.

5. Sold merchandise on account to C. F. Howell Co., list price $4,000, trade discount 30%, terms 2/10, n/30. The cost of the merchandise sold was $1,125.    

8. Purchased office supplies for cash, $150.

10. Returned merchandise purchased on May 5 from Kramer Co., $1,300.

13. Paid Floyd Co. on accouthe nt for purchase of May 3.

14. Purchased merchandise for cash, $10,500.

15. Paid Kramer Co. on accouthe for purchase of May 5, less return of May 10.

16. Received cash on account from sale of May 6 to C. F. Howell Co.

19. Sold merchandise on MasterCard credit cards, $2,450. The cost merchandisen- dise sold was $980.

22. Sold merchandise for cash to Comer Co., $3,480. The cost of the merchandise sold was $1,400.

24. Sold merchandise on account to Smith Co., $4,350, terms n/30. The cost of the merchandise sold was $1,750.

25. Refunded Comer Co. $1,480 for returned merchandise from sale on May 22. The cost of the returned merchandise was $600.

31. Paid a service processing fee of $140 for MasterCard sales.

Instructions

1. Journalize the preceding transactions.

2. Journalize the adjusting entry for merchandise inventory shrinkage, $3,750.

3. Journalize the adjusting entries for estimated customer refunds and returns. Assume that sales of $3,000 are estimated to be refunded and inventory costing $1,800 is estimated to be returned.