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Quizz on PART1 SEC B

Authored by Abhijit Sengupta

Professional Development

Professional Development

Used 6+ times

Quizz on PART1 SEC B
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40 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

All of the following correctly describes an example of following the focus strategy except:

A company invests in automated manufacturing equipment to enable it to produce a product that appeals to a particular industry segment only.

A company sends all its employees to training to improve their skills to enable it to produce a product that appeals to a particular industry segment only.

A company sends all its employees to training to improve their skills to enable it to produce a product with features not available in competitors’ products.

A company drops products in all industry segments but one.

2.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

Wishing-Well Inc., a chain of small convenience stores in Atlanta, Georgia, has just opened a store in a rapidly developing suburb to the north of the city. The marketing manager of Wishing-Well believes that the suburb is a lucrative market, as the area has several expensive homes and offices but does not have any other convenience stores or supermarkets. Which of the following is likely to neutralize the opportunity offered by the new market?

Wishing-Well is well known for its unique offerings of local produce and organic food.

Abundant retail space is available for low rates in the suburb.

Wishing-Well has a popular rewards program for its regular customers.

The suburb has well-regarded public and private schools

3.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

How does a multiple linear regression equation differ from a simple linear regression equation?

More than one independent variable is used to predict a dependent variable in a multiple linear regression equation but only one independent variable is used to predict a dependent variable in a simple linear regression equation.

More than one dependent variable is predicted by a multiple linear regression equation but only one dependent variable is predicted in a simple linear regression equation.

A multiple linear regression is likely to be less accurate than a simple linear regression model.

A multiple linear regression is likely to be less difficult to interpret than a simple linear regression model.

4.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

Which of the following is not a limitation of learning curve analysis?

Learning curve analysis assumes that the percentage improvement from learning only fully occurs when production doubles.

Learning curve analysis can only be used to predict performance that is within the range of data used to develop the analysis.

Learning curve analysis cannot be used when it is difficult to accurately measure the impact of efficiency improvements.

Learning curve analysis assumes all improvements in production efficiency are caused by employee learning.

5.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

A company uses participative budgeting. In order to more easily meet budgetary goals, the controller underestimates the amount of revenue and overestimates fixed selling and administrative expenses. This is an example of

flexible budgeting.

zero-based budgeting.

budgetary slack.

budgetary variance.

6.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

Joan K. is a manager with Steel Works Inc. Joan would love to beat the budget this year. She believes that revenues for the coming year will be $200,000 and expenses will be $120,000. To build in budgetary slack, Joan is least likely to budget for which of the following?

$70,000 of income

$130,000 of expenses

$110,000 of expenses

$190,000 of revenue

7.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

Connie G. is a manager with Bricks and More Company. Connie receives a bonus based on beating the budget. For the coming year, Connie believes revenues will be $250,000 and expenses will be $140,000. To build in budgetary slack, Connie will most likely budget for which of the following?

$130,000 of expenses

$150,000 of expenses

$260,000 of revenue

$120,000 of income

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