With a mean of 1000 and a standard deviation of 600, the probability that the demand is going to be withing 25 percent of its forecast is 0.3230.
a. Mean = 1000
sd = 600
p(1000x 1-25%) - p(1000x 1+25%)
using the z test
d-μ/σ
find values using excel sheet formula
NORMSDIST(0.4167) - NORMSDIST(-0.4167)
=m0.6615 - 0.3385
= 0.3230
<h3>b. The probability that the forecast would be more than 40 percent</h3>
1000x 1+40%
= p(D>1400)
= 1- NormDist(0.667)
= 0.225
c. Cu = 121-72 = 49
Co = 72.50 = 22
The critical ratio calculation
49/22 +49 = 0.6901
Normsinv(0.6901) = 0.496
1000+0.496x600
= 1297
The units that Flextrola has to order is 1297.
<h3>d. The expected sales of Flextrola</h3>
1200-1000/600
= 0.3333
loss function from z = 0.333 is 0.254
600x0.254 = 152. 4
1000-152.4 = 847.6
the expected sales are 847.6
e 1200- 847.6
= 352. 4
The units of inventory that can be sold is 352.4
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<span>As the outsourcing decision is not in the audit term therefore the audit team is not needed to take it into consideration. Audit team is required to work for those matters which are in the term for which it is hired. Notes can be mentioned that outsourcing is used in the next term.</span>
Answer:
Par value of common stock is $2.5
Explanation:
The par value of common stock can determined by dividing the common stock total amount in each of the two years by the shares issued and outstanding in each year as demonstrated below:
2019:
Par value of common stock =Common stock($)/shares issued
common stock($) is $555 million
shares issued and outstanding is 222 million shares
par value of common stock=$555 million/222 million=$2.5
2020:
Par value of common stock =Common stock($)/shares issued
common stock($) is $560 million
shares issued and outstanding is 224 million shares
par value of common stock=$560 million/224 million=$2.5
Ultimately the par value of common stock as shown be computations for both years is $2.5
Automobile loans is not a type of consumer credit
