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choli [55]
3 years ago
13

1. The "four Ms" of cause-and-effect diagrams are:______.

Business
1 answer:
dolphi86 [110]3 years ago
3 0

Answer:

1. C.  c. material, machinery/equipment, manpower, and methods.

2. E. All are correct

Explanation:

1. The cause-and-effect diagram also known as the Ishikawa diagram is used by organizations to find out the likely causes of unwanted problems. This diagram traces the roots of problems and helps managers discover the potential causes of these problems. The four M's that form the bone of the diagram to which other causes are traced include the;

a. material, which is about the products used in the production process and potential problems that can be attributed to them.

b. machinery/equipment, which is about the plant and likely problems that can arise from their use.

c. manpower, which is about the personnel used in the production process, and,

d. methods, which is about the systems adopted by the organization.

2. A systematic approach to capacity decisions include;

a. Estimation of capacity requirements

b. Identification of gaps by comparing the expected requirements with available capacity.

c. Develop alternative plans and methods that would help to reduce the gaps.

d. Evaluate the alternatives taking into consideration their qualitative and quantitative attributes.

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A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of size (measur
astraxan [27]

Answer:

a. The estimated coefficient for size is approximately <u>13.81</u>.

b. In the regression, two predictors are used. These two predictors are size and fireplace (FP).

Explanation:

a. The estimated coefficient for size is approximately _____.

Estimated coefficient for size = Standard Error of size * t-Stat of size =  1.2072436 * 11.439 = 13.81

Therefore, the estimated coefficient for size is approximately <u>13.81</u>.

b. How many predictors (independent variables) were used in the regression?

Independent variables can be described as variables that are changed or manipulated in order to measure the effect of their changes on the dependent variable. Independent variables are therefore also called predictors because they employed to predict the dependent variable.

In the regression, two predictors are used. These two predictors are size and fireplace (FP).

8 0
3 years ago
How can investors receive compounding returns? aby selecting a savings account that has a higher interest rate bby investing the
Novay_Z [31]
Investors can receive compounding returns by investing their earnings back into their original investment. For example, if they earn $10 from a stock they invested in, they would place that $10 back into the stock that earned them that money.
7 0
3 years ago
Kropf Inc. has provided the following data concerning one of the products in its standard cost system. Variable manufacturing ov
Ratling [72]

Answer:

a) The materials price variance 19026.33 unfav

b) Material Quantity Variance= $ 267 Unfav

c) Direct Labor Rate variance= $ 6127 Unfav

d) Direct labor Efficiency variance= 7710 Fav

e) Variable Overhead Rate Variance= 13099 fav

f) Variable Overhead Efficiency Variance= 3256.25  unfav

Explanation:

<em>First We find the missing figures such as standard quantity ,hours allowed , actual price, rate. Then we list the formulae to use. After that we put in the values of the amounts in the formulae to get the results. Unfavorable variances are those in which the actual quantities are greater than the standard quantities or input .</em>

Kropf Inc.

Given Standards

Direct materials 9.30 liters $ 8.90 per liter

<em>Standard Quantity allowed = 9.3 * 11500= 106950 Litres </em>

Direct labor 0.70 hours $ 25.70 per hour

Variable manufacturing overhead 0.70 hours $ 7.80 per hour

<em>Standard Hours Allowed </em>= $ 0.7 *11500= 8050

Actual Results Given

Actual output 11,500 units

Raw materials purchased 107,900 liters

Actual cost of raw materials purchased $ 979,500

<em>Actual Price</em><em>=</em> Cost/ Purchases=  $ 979,500/107,900 = $9.08

Raw materials used in production 106,980 liters

Actual direct labor-hours 7,750 hours

Actual direct labor cost $ 205,302

<em>Actual Rate</em><em>=</em>$ 205,302 / 7,750 = $ 26.49

Actual variable overhead cost $ 55,414

Actual Overhead Rate= $ 55,414/7,750 = $ 7.15

<u>Formulae to use </u>

1)The materials price variance = (Actual Price * Actual Quantity)- (Standard Price * Actual Quantity)

2) Material Quantity Variance= (Standard Price * Actual Quantity)-(Standard Price * Standard Quantity)

3) Direct Labor Rate variance= (actual hours* actual rate)- (actual hours * standard rate)

4) Direct labor Efficiency variance= (actual hours* standard rate)- (standard hours * standard rate)

5) Variable Overhead Rate Variance= Actual Variable Overhead- Standard Variable Overhead

6)Variable Overhead Efficiency Variance=( Actual Hours * Standard Variable Overhead Rate)-( Standard Hours * Standard Variable Overhead Rate)

<u>Working</u>

1)The materials price variance = (Actual Price * Actual Quantity)- (Standard Price * Actual Quantity)

The materials price variance = ( $9.08*106,980 )- ($ 8.90 *106,980)

The materials price variance = (971148.38)- (952122)=19026.33 unfav

2) Material Quantity Variance= (Standard Price * Actual Quantity)-(Standard Price * Standard Quantity)

Material Quantity Variance=($ 8.90 *106,980)-($ 8.90 *106,950)= $ 267 Unfav

3) Direct Labor Rate variance= (actual hours* actual rate)- (actual hours * standard rate)

Direct Labor Rate variance= ( 7,750*$ 26.49)- (7,750*$ 25.70)= $ 6127 Unfav

4) Direct labor Efficiency variance= (actual hours* standard rate)- (standard hours * standard rate)

Direct labor Efficiency variance=(7,750*$ 25.70)-(8050*$ 25.70)= 7710 Fav

5) Variable Overhead Rate Variance= Actual Variable Overhead- Standard Variable Overhead

Variable Overhead Rate Variance=$ 55,414-( Actual Hours * Standard Variable Overhead Rate)

Variable Overhead Rate Variance=$ 55,414-(7,750*0.70 * $ 7.80)

Variable Overhead Rate Variance=$ 55,414- 42315= 13099 fav

6)Variable Overhead Efficiency Variance=( Actual Hours * Standard Variable Overhead Rate)-( Standard Hours * Standard Variable Overhead Rate)

Variable Overhead Efficiency Variance= (7,750*0.70 * $ 7.80)- (7,750*0.70 * $ 7.15)=42315- 38788.15= 3256.25  unfav

8 0
3 years ago
Brightstone Tire and Rubber Company has capacity to produce 179,000 tires. Brightstone presently produces and sells 137,000 tire
Mariana [72]

Answer:

A. Reject (Alternative 1) $0

Accept (Alternative 2) -$815,584

Differential effect Income (Alternative 2) -$815,584

B. Goodman should REJECT the special order from Euro Motors

C.$115.69

Explanation:

a. Preparation of a differential analysis dated January 21

DIFFERENTIAL ANALYSIS

Reject (Alternative 1) Accept (Alternative 2) Differential effect Income (Alternative 2)

Revenues $0 $1,613,850 $1,613,850

(21,000 tires × $76.85 per tire)

Costs:

Direct materials 0 –$1,134,000 $1,134,000

(21,000 tires × $54 per tire)

Direct labor 0 –$504,000 $504,000

(21,000 tires × 24 per tire)

Variable factory overhead 0 –$312,480 $312,480

[21,000 tires × ($24 per tire × 62%)]

Variable selling and admin.

expenses 0 –$152,880 $152,880

21,000 tires × [(25 per tire × 44%) – ($93 × 4%)]

Shipping costs 0 –$160,650 $160,650

(21,000 tires × $7.65 per tire)

Certification costs 0 –$165,424 –$165,424

Income (Loss) $0 -$815,584 -$815,584

B. Based on the above Differentials analysis Brightstone should REJECT the special order from Euro Motors.

C. Calculation to determine minimum price per unit that would be financially acceptable to Brightstone

Minimum price per unit =$76.85-(-$815,584/21,000)

Minimum price per unit =$76.85-(-$38.84)

Minimum price per unit=$115.69

Therefore minimum price per unit that would be financially acceptable to Brightstone is $115.69

5 0
2 years ago
Marcy's, Inc., operates department stores located primarily in the Southwest, Southeast, and Midwest. In its 2016 third-quarter
marysya [2.9K]

Answer:

Purchases is $3400  million

Explanation:

Cost of goods formula comes readily helpful in this case.

Cost of goods sold=beginning inventory+purchases-ending inventory

by arranging the formula,the purchases formula is given thus:

Purchases=cost of goods sold-beginning inventory+ending inventory

cost of goods sold is $2,900 million

ending inventory is $4,600 million

beginning inventory is $4,100 million

purchases=($2,900-$4,100+$4,600) million

purchases=3400  million

8 0
3 years ago
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