Questions
Describe three major differences between operating and financial leases, pointing out how these differences reflect varying...

Describe three major differences between operating and financial leases, pointing out how these differences reflect varying lessor and lessee situations.

In: Finance

I need to give an example and explain the leadership gap that exists between men and...

I need to give an example and explain the leadership gap that exists between men and women that contains each of the three parts of the "leadership labyrinth.''

In: Psychology

Distinguish between the different forms of doing business outside the United States and list their advantages...

Distinguish between the different forms of doing business outside the United States and list their advantages and disadvantage

Write two to three large paragraphs

In: Accounting

What is the differences between : Mass-to-charge ratio Charge-to-mass ratio Charge-to-size ratio I'm confused about these...

What is the differences between :

Mass-to-charge ratio
Charge-to-mass ratio
Charge-to-size ratio

I'm confused about these three terms ?

In: Chemistry

Define cloud computing and explain the three key terms in your definition. Then Describe the differences...

Define cloud computing and explain the three key terms in your definition. Then

Describe the differences between mainframe, client-server, and cloud architectures.

In: Computer Science

What three qualities would you say best distinguish between the effective and the ineffective conversationalist? Please...

What three qualities would you say best distinguish between the effective and the ineffective conversationalist? Please explain in detail and provide examples.

In: Psychology

Think about the challenge faced by large e-commerce websites like Amazon or Netflix. Brick-and-mortar retailers can...

Think about the challenge faced by large e-commerce websites like Amazon or Netflix. Brick-and-mortar retailers can capture people’s attention in the store with eye-catching point-of-purchase displays or suggestive selling by store employees. However, these are not options for retail websites. They need an effective way of recommending their vast array of products to customers. Most e-commerce sites provide website search tools based on the technologies previously discussed in this chapter. Relying on customers to find products through an active search, however, assumes customers know what they want and how to describe it when forming their search query. For these reasons, many e-commerce sites rely on recommendation engines (sometimes called recommender systems). Recommendation engines proactively identify products that have a high probability of being something the consumer might want to buy. Amazon has long been recognized as having one of the best recommendation engines. Each time customers log into the site, they are presented with an assortment of products based on their purchase history, browsing history, product reviews, ratings, and many other factors. In effect, Amazon customizes their e-commerce site for each individual, leading to increased sales. According to Amazon employees, click-through and conversion rates “vastly exceed those of untargeted content such as banner advertisements and top-seller lists”

There are three widely used approaches to creating useful recommendations: content-based filtering, collaborative filtering, and hybrid strategies

QUESTION:

Pick a website that you like e.g. Amazon or Netflix

Analyze How it recommends products and services

Identify 2 or 3 points that you like from their recommendation

Identify 1 or 2 areas that they could improve

In: Economics

Auto Clean, a full-service car wash company, is conducting a survey to address the following research...

Auto Clean, a full-service car wash company, is conducting a survey to address the following research objectives:

Objective 1. Assess the customer perceptions and evaluations of Auto Clean’s services.

Objective 2. Assess the effectiveness of Auto Clean’s promotional expenditures.

Objective 3. Identify demographic characteristics of Auto Clean’s customers.

Objective 4. Identify other relevant characteristics of Auto Clean’s customers.

This is the questionnaire they used for this research:

---------------------------------------------------------------------------------------------------------------------

To help us serve you better, please take a few minutes to fill out this short questionnaire. Thank you for your help.

  1. How often do you usually have your car washed?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How often do you usually have your car waxed?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How often do you usually wash and/or wax your car by yourself?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How long has it been since you last brought your car to Auto Clean?

__ Less than a week

__ One to less than two weeks

__ Two to less than three weeks

__ Three to less than four weeks

__ Four weeks or more

  1. How far from Auto Clean do you live?

__ Less than a km

__ One to less than three kms

__ Three to less than five kms

__ Five kms or more

  1. In the past three months, have you used any car wash other than Auto Clean?

__ Yes                   __ No

  1. How long are you willing to wait to have your car professionally washed/waxed? ________min
  2. Indicate the extent to which you agree or disagree with the following statements about Auto Clean. For each statement, circle “1” if you strongly disagree and “7” if you strongly agree, or another appropriate number in between if your feeling are less strong.

Strongly Disagree

1

2

3

4

5

6

Strongly Agree

7

The washing/ waxing job is excellent

The service performance is consistent from one visit to the next

Prices are reasonable

The time taken to provide services is reasonable

  1. What is your age? _______
  2. What is your income? ___________$
  3. What social network platforms do you use the most? ___________________________

Thank you very much!

Read the questionnaire above and answer the following questions:

1. Which questions in the questionnaire address each of Auto Clean’s research objectives (1 pts)? Indicate your answers in the table below.

Objective #

Questions #

1

2

3

4

2. Which question(s) in the questionnaire do(es) not address fully or do(es) in an appropriate way a specific research objective? For each of these questions, explain why and how you propose to solve this problem. (2 pts).

Indicate your answers in the table below.

Objective #

Questions # not addressing fully or appropriately the research objective

Explanation and proposed solution to fix the question(s)

1

2

3

4

3. Identify all other problems related to Auto Clean’s questionnaire’s design. Propose ways to solve each problem. For example, when the problem relates to a specific question wording, please propose a revised question. (3 pts).

Indicate your answers in the table below (add as many rows as necessary).

Questionnaire design problem

Explanation and proposed solution to fix the problem

In: Operations Management

Question 1 (6pts) Auto Clean, a full-service car wash company, is conducting a survey to address...

Question 1 (6pts)

Auto Clean, a full-service car wash company, is conducting a survey to address the following research objectives:

Objective 1. Assess the customer perceptions and evaluations of Auto Clean’s services.

Objective 2. Assess the effectiveness of Auto Clean’s promotional expenditures.

Objective 3. Identify demographic characteristics of Auto Clean’s customers.

Objective 4. Identify other relevant characteristics of Auto Clean’s customers.

This is the questionnaire they used for this research:

---------------------------------------------------------------------------------------------------------------------

To help us serve you better, please take a few minutes to fill out this short questionnaire. Thank you for your help.

  1. How often do you usually have your car washed?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How often do you usually have your car waxed?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How often do you usually wash and/or wax your car by yourself?

__ Less than once a month

__ Once a month

__ Two times a month

__ Three times a month

__ Four or more times a month

  1. How long has it been since you last brought your car to Auto Clean?

__ Less than a week

__ One to less than two weeks

__ Two to less than three weeks

__ Three to less than four weeks

__ Four weeks or more

  1. How far from Auto Clean do you live?

__ Less than a km

__ One to less than three kms

__ Three to less than five kms

__ Five kms or more

  1. In the past three months, have you used any car wash other than Auto Clean?

__ Yes                    __ No

  1. How long are you willing to wait to have your car professionally washed/waxed? ________min
  2. Indicate the extent to which you agree or disagree with the following statements about Auto Clean. For each statement, circle “1” if you strongly disagree and “7” if you strongly agree, or another appropriate number in between if your feeling are less strong.

Strongly Disagree

1

2

3

4

5

6

Strongly Agree

7

The washing/ waxing job is excellent

The service performance is consistent from one visit to the next

Prices are reasonable

The time taken to provide services is reasonable

  1. What is your age? _______
  2. What is your income? ___________$
  3. What social network platforms do you use the most? ___________________________

Thank you very much!

Read the questionnaire above and answer the following questions:

1. Which questions in the questionnaire address each of Auto Clean’s research objectives (1 pts)? Indicate your answers in the table below.

Objective #

Questions #

1

2

3

4

2. Which question(s) in the questionnaire do(es) not address fully or do(es) in an appropriate way a specific research objective? For each of these questions, explain why and how you propose to solve this problem. (2 pts).

Indicate your answers in the table below.

Objective #

Questions # not addressing fully or appropriately the research objective

Explanation and proposed solution to fix the question(s)

1

2

3

4

3. Identify all other problems related to Auto Clean’s questionnaire’s design. Propose ways to solve each problem. For example, when the problem relates to a specific question wording, please propose a revised question. (3 pts).

Indicate your answers in the table below (add as many rows as necessary).

Questionnaire design problem

Explanation and proposed solution to fix the problem

In: Operations Management

An engineer is designing a battery for use in a device that will be subjected to...

An engineer is designing a battery for use in a device that will be subjected to some extreme variations in temperature. The only design parameter that he can select at this point is the plate material for the battery, and he has three possible choices (1, 2, and 3). The engineer decides to test all three plate materials at three temperature levels (15°F, 70°F, and 125°F) because these temperatures are consistent with the product end-use environment. Four batteries are tested at each combination of plate material and temperature, and all 36 tests are run in completely random order. The response is the life of the battery in hours. Confirm that the interaction term is significant and then draw and interpret the Interaction Plot.

Type Temperature Life
1 15 130
1 15 74
1 15 155
1 15 180
1 70 34
1 70 80
1 70 40
1 70 75
1 125 20
1 125 82
1 125 70
1 125 58
2 15 150
2 15 159
2 15 188
2 15 126
2 70 136
2 70 122
2 70 106
2 70 115
2 125 25
2 125 58
2 125 70
2 125 45
3 15 138
3 15 168
3 15 110
3 15 160
3 70 174
3 70 150
3 70 120
3 70 139
3 125 96
3 125 82
3 125 104
3 125 60

In: Statistics and Probability