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Can Somebody please explain the answer choices for Q2 and Q3, For Q2 how is it that Pacific has the lowest SD ? and for Q3 (2nd question) how the price per unit is calculated, i mean we are given the revenue for 2017 and then respective units produced and then % of those units sold. So the Revenue = price per item x no. of units sold. Aren't we going to calculate highest or lowest price per unit by considering the no. of units sold for all of the quarters, this is so confusing 😕
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For Q2 we are given the amount of units produced and also the percent sold. The question is asking for the company with the lowest standard deviation among the amount of units sold.

Pacific produces: 42,185 - 45265 - 39,456 - 58,235
Pacific sells: ------- 92% -- 85% --- 98% ---- 62%

If we take the percent sold from the total produced: 42,185(.92), 45,265(.85), 39,456(.98), 58235(.62)

We get: 38810, 38475, 38666, 36105 Units sold, which is the lowest standard deviation.
DonBosco7
Can Somebody please explain the answer choices for Q2 and Q3, For Q2 how is it that Pacific has the lowest SD ? and for Q3 (2nd question) how the price per unit is calculated, i mean we are given the revenue for 2017 and then respective units produced and then % of those units sold. So the Revenue = price per item x no. of units sold. Aren't we going to calculate highest or lowest price per unit by considering the no. of units sold for all of the quarters, this is so confusing 😕
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QUESTION 3:

1. At least one of the companies for which data is provided had excess inventory at the end of 2016.
-This question is a trap because we are not given any data on 2016 and exclusively 2017; so the answer is NO

2. Among the four companies, Starcom had the highest average price per unit in 2017.
-Based on the tables, Starcom consistently produces a lower amount of items and also sells a lower percentage of produced items. However, they have the second highest revenue meaning they must charge significantly more than other companies. Therefore the answer is YES.

3. None of the four companies sold more units in the fourth quarter of 2017 than they did in any other individual quarter of 2017.
-To solve this you need to take the sales percentage of the production data to calculate the number of units sold. The question is asking us to identify a company that sold the most amount of units in it's fourth quarter. Since a lot of percentages are ~100%, it's a quick comparison between quarters, and the only number I would calculate is the Light Speed Technologies quarter 3 and quarter 4, as it's close and is what gives our answer. Because of the way the question's phrased, since LST had a higher quarter 4 than any other quarter, the answer is NO.
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Q3 part 1 is no since it says 2016 and not 2017 - no calculation needed
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how on earth we are able to solve such type of MSR in exam? would take 10+ minutes for sure for all this to calculate/approximate
cheshire
For Q2 we are given the amount of units produced and also the percent sold. The question is asking for the company with the lowest standard deviation among the amount of units sold.

Pacific produces: 42,185 - 45265 - 39,456 - 58,235
Pacific sells: ------- 92% -- 85% --- 98% ---- 62%

If we take the percent sold from the total produced: 42,185(.92), 45,265(.85), 39,456(.98), 58235(.62)

We get: 38810, 38475, 38666, 36105 Units sold, which is the lowest standard deviation.

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I personally found it easier to just eliminate answer choices rather than solving for just one. Some of the options can be eliminated almost immediately (E) and the others only took like 30 seconds to prove false (B,C,D).
dejavu3363
how on earth we are able to solve such type of MSR in exam? would take 10+ minutes for sure for all this to calculate/approximate

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I dont understand the third statement for the first question , the question is about what is Supported not what can be Infered. Here :In the 2nd quarter of 2017, Light Speed Technologies implemented new software to limit excess production and eliminate warehouse inventory. there is nothing on the data that is supporting the new software or even mentioning it. for what we Know there could be 101 reasons why their inventory decreased. I would understand this answer if it was an inferred question but I really dont understand it in a support question. Can someone please explain his pov on this ?
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AKtilul
I dont understand the third statement for the first question , the question is about what is Supported not what can be Infered. Here :In the 2nd quarter of 2017, Light Speed Technologies implemented new software to limit excess production and eliminate warehouse inventory. there is nothing on the data that is supporting the new software or even mentioning it. for what we Know there could be 101 reasons why their inventory decreased. I would understand this answer if it was an inferred question but I really dont understand it in a support question. Can someone please explain his pov on this ?


Supported does not mean “this story could explain the numbers.” It means “if the statement were true, it would be consistent with, and not contradicted by, the data.” So, “Supported” here is being used as “consistent with the data,” not “explicitly stated in the data.” The tables do not mention “new software,” but the post Q2 shift in Light Speed’s sell through (moving from selling less than produced to selling all or more than produced) is consistent with a change aimed at reducing excess production and clearing inventory. So if the statement were true, the numbers do not conflict with it, which is why it is marked Supported.

Having said that, you are right, the question could have been phrased better.
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cheshire Bunuel, But isn't this question time consuming as we would then have to look for other companies also, Is there any way with which we can approximate in a much faster way?
cheshire
For Q2 we are given the amount of units produced and also the percent sold. The question is asking for the company with the lowest standard deviation among the amount of units sold.

Pacific produces: 42,185 - 45265 - 39,456 - 58,235
Pacific sells: ------- 92% -- 85% --- 98% ---- 62%

If we take the percent sold from the total produced: 42,185(.92), 45,265(.85), 39,456(.98), 58235(.62)

We get: 38810, 38475, 38666, 36105 Units sold, which is the lowest standard deviation.

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