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The tax reform act of 1986 contains a change in accounting methods with regard t

ID: 3201913 • Letter: T

Question

The tax reform act of 1986 contains a change in accounting methods with regard to inventory capitalization. The law states that inventory costs, such as storage a warehousing of inventory--Which had previously been considered expense--are to be capitalized, thus inceasing a corporation's taxable income. In a survey by the National Association of Accountants, 60% of the corporate accountants who responded did not know what effect this law would have on their corporate tax liability. Suppose that this percentage applies to all corporate accountants, and n=19 corporate accountants are questioned regarding the new tax law.

a) Find the probability that at least 15 of the 19 do not know what effect the law will have on their corporate tax liabilities.

b) Find the probability that no more than 10 do not know what effect the law will have

c) If only 10 of the 19 corporate accountants did not know what effect this law would have on their corporate liabilities, what would you conclude regarding the accuracy of the 60% figure given in this survey?

Explanation / Answer

Result:

The tax reform act of 1986 contains a change in accounting methods with regard to inventory capitalization. The law states that inventory costs, such as storage a warehousing of inventory--Which had previously been considered expense--are to be capitalized, thus inceasing a corporation's taxable income. In a survey by the National Association of Accountants, 60% of the corporate accountants who responded did not know what effect this law would have on their corporate tax liability. Suppose that this percentage applies to all corporate accountants, and n=19 corporate accountants are questioned regarding the new tax law.

P( x 15) =0.0696

b) Find the probability that no more than 10 do not know what effect the law will have

P( x10) =0.3325

Expectation = np = 11.4

Variance = np(1 - p) = 4.56

Standard deviation = 2.1354

The value 10 is within 2 standard deviation of the mean value of 11.4.

There is no concern about the accuracy of the 60% figure given in this survey.

n=19

p=0.6

P(X=x) = (nCx) px (1-p)n-x

Binomial Probabilities Table

X

P(X)

P(<=X)

P(<X)

P(>X)

P(>=X)

0

0.0000

0.0000

0.0000

1.0000

1.0000

1

0.0000

0.0000

0.0000

1.0000

1.0000

2

0.0000

0.0000

0.0000

1.0000

1.0000

3

0.0001

0.0001

0.0000

0.9999

1.0000

4

0.0005

0.0006

0.0001

0.9994

0.9999

5

0.0024

0.0031

0.0006

0.9969

0.9994

6

0.0085

0.0116

0.0031

0.9884

0.9969

7

0.0237

0.0352

0.0116

0.9648

0.9884

8

0.0532

0.0885

0.0352

0.9115

0.9648

9

0.0976

0.1861

0.0885

0.8139

0.9115

10

0.1464

0.3325

0.1861

0.6675

0.8139

11

0.1797

0.5122

0.3325

0.4878

0.6675

12

0.1797

0.6919

0.5122

0.3081

0.4878

13

0.1451

0.8371

0.6919

0.1629

0.3081

14

0.0933

0.9304

0.8371

0.0696

0.1629

15

0.0467

0.9770

0.9304

0.0230

0.0696

16

0.0175

0.9945

0.9770

0.0055

0.0230

17

0.0046

0.9992

0.9945

0.0008

0.0055

18

0.0008

0.9999

0.9992

0.0001

0.0008

19

0.0001

1.0000

0.9999

0.0000

0.0001

Binomial Probabilities Table

X

P(X)

P(<=X)

P(<X)

P(>X)

P(>=X)

0

0.0000

0.0000

0.0000

1.0000

1.0000

1

0.0000

0.0000

0.0000

1.0000

1.0000

2

0.0000

0.0000

0.0000

1.0000

1.0000

3

0.0001

0.0001

0.0000

0.9999

1.0000

4

0.0005

0.0006

0.0001

0.9994

0.9999

5

0.0024

0.0031

0.0006

0.9969

0.9994

6

0.0085

0.0116

0.0031

0.9884

0.9969

7

0.0237

0.0352

0.0116

0.9648

0.9884

8

0.0532

0.0885

0.0352

0.9115

0.9648

9

0.0976

0.1861

0.0885

0.8139

0.9115

10

0.1464

0.3325

0.1861

0.6675

0.8139

11

0.1797

0.5122

0.3325

0.4878

0.6675

12

0.1797

0.6919

0.5122

0.3081

0.4878

13

0.1451

0.8371

0.6919

0.1629

0.3081

14

0.0933

0.9304

0.8371

0.0696

0.1629

15

0.0467

0.9770

0.9304

0.0230

0.0696

16

0.0175

0.9945

0.9770

0.0055

0.0230

17

0.0046

0.9992

0.9945

0.0008

0.0055

18

0.0008

0.9999

0.9992

0.0001

0.0008

19

0.0001

1.0000

0.9999

0.0000

0.0001

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