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Licemer1 [7]
3 years ago
5

The mean and standard deviation for the heights of men in the U.S. are 70 inches and 4 inches respectively and are normally dist

ributed. Based on this information, which of the following represents the percent of men whose heights falls between 58 inches and 66 inches to the nearest whole percent?
A) 2%
B) 16%
C) 34%
D) 68%
Mathematics
1 answer:
sertanlavr [38]3 years ago
4 0

Answer:

B) 16%

Step-by-step explanation:

First, we need to standardize 58 and 66 inches using the following equation:

z=\frac{x-m}{s}

Where m is the mean and s is the standard deviation, so 58 and 66 are equivalent to:

z=\frac{58-70}{4}=-3\\z=\frac{66-70}{4}=-1\\

Then, the percent of men whose heights falls between 58 inches and 66 inches is calculated as:

P(58<z<66) = P(-3<z<-1)

So, using the normal table, we get:

P(-3<z<-1) = P(z<-1) - P(z<-3)

P(-3<z<-1) = 0.1587 - 0.0013

P(-3<z<-1) = 0.1574

Finally, 0.1574 rounded to the nearest whole percent is equal to 16%

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Under the last-in, first-out (LIFO) inventory valuation method, a price index for inventory must be established for tax purposes
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Answer:

The laspeyres method of weighted aggregate price index is used of LIFO inventory valuation, therefore laspeyres index number is 106.08

Step-by-step explanation:

First of all we would have to perform the following table:

                                             

Product   Ending Inventory(Q0)  Begining(P0)   Ending(P1)   P0×Q0   P1×Q0  

    A                    500                         0.15               0.21                75        105

    B                       50                         1.60               1.80                 80         90

    C                       100                        4.50             4.20                 450      420

    D                       40                          12.00          13.40                 480     536

                                                                                             Total  1085     1151

Therefore, using laspeyres index number, we calculate the following:

laspeyres index number=(∑P1×Q0/∑P0×Q0)×100

laspeyres index number=(1151/1085)×100

laspeyres index number=106.08

8 0
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