The table shows the normal and extreme high and low temperatures, and

Question

The table shows the normal and extreme high and low temperatures, and the normal and maximum amounts of precipitation, for each month of the year at the same location. The numbers are rounded, so identical numbers may represent slightly different quantities.

Month  
  Normal daily
max (°C)  
  Normal daily
min (°C)  
  Extreme
high (°C)  
  Extreme
low (°C)  
  Normal
precipitation
(cm)  
  Maximum precipitation
(cm)  
 
  Jan. 
 11.7 
 5 
 25.6 
 -6.1 
 30.5 
 50.8 
 
  Feb. 
 12.8 
 5.6 
 29.4 
 -3.3 
 22.9 
 40.6 
 
  Mar. 
 12.8 
 5.6 
 26.7 
 -1.7 
 20.3 
 38.1 
 
  Apr. 
 13.9 
 6.1 
 33.3 
 0 
 10.2 
 29.2 
 
  May. 
 15.6 
 8.3 
 34.4 
 0 
 7.6 
 20.3 
 
  June 
 16.7 
 10 
 37.2 
 3.9 
 2.5 
 10.2 
 
  July 
 17.8 
 10.6 
 35.6 
 3.9 
 0.8 
 6.4 
 
  Aug. 
 17.8 
 11.1 
 35.6 
 5.6 
 2 
 15.1 
 
  Sept. 
 18.3 
 10.6 
 39.4 
 3.9 
 5.1 
 17.8 
 
  Oct. 
 16.7 
 8.9 
 35.6 
 0 
 10.2 
 33 
 
  Nov. 
 14.4 
 7.2 
 27.2 
 -1.7 
 22.9 
 45.7 
 
  Dec. 
 12.2 
 5.6 
 26.1 
 -7.8 
 30.5 
 48.3

For each of the following statements, select  Yes  if the statement is accurate based on the information provided. Otherwise select  No .

ID: 100334

Bismuth83 · Answer

1. The question asks us to    analyze the table and check which statements are true and which aren't   .

2.    The ranking of the months based on normal precipitation values is the same as the ranking based on maximum precipitation values.    Let's rank the months based on normal precipitation with it decreasing. Then consider June and August. Their maximum precipitation is 10.2 and 15.1, respectively. However, if the statement was true then those values shouldn't be increasing.    So, the statement is inaccurate   .

3.    Of the months with an extreme low of 0°C, only one has a normal daily low of less than 8°C.    April, October and May are the months with an extreme low of 0°C. Only April has a normal daily minimum less than 8°C   (6.1°C).    So, the statement is accurate   .

4.    March does not rank highest or lowest in any category.    If we go through all possible rankings, we can see that March is neither at the bottom nor the top of the list.    So, the statement is accurate   .

dragosbahov · Answer

good question  guddo  but change the maximum per capitation in the table pls <3

Bunuel · Answer

___________________
Fixed. Thank you!

Usernamevisible · Answer

Is this right reason to say no to statement I ?

- 
Normal precipitation has ties (Jan/Dec, Nov/Feb, Oct/Apr).
Maximum precipitation does not.

Also, the table explicitly says:

The numbers are rounded, so identical numbers may represent slightly different quantities.

Bunuel · Answer

No.

A definite reason is that August ranks second lowest in normal precipitation but third lowest in maximum precipitation. Therefore, the rankings are not the same.

Usernamevisible · Answer

but when the values are tied, for   Normal   precipitation  in Jan and Dec, it will give Rank 1 to both but for  Maximum precipitation  it will be Rank 1 and 2.

Giving different rank thus leading to "No" for question asking - The ranking of the months based on normal precipitation values is the same as the ranking based on maximum precipitation values.

egmat · Answer

Hi Usernamevisible,

I see exactly what you're doing: you're pointing to the  Normal precipitation  column, where Jan and Dec are both  30.5  (a tie), while their  Maximum precipitation  values differ ( 50.8  vs  48.3 ), and saying that alone forces different ranks. Bunuel said "No" to this reasoning, and here's why.

The rounding note is what breaks your argument.  The table explicitly says the numbers are rounded, so "identical numbers may represent slightly different quantities." That means the Jan/Dec  30.5  tie may not be a real tie at all - the true normal precipitation for those two months could actually differ, and we simply can't tell which is higher. So you can't claim they "both get Rank 1" with certainty. A tie you can't resolve can't be used to  prove  anything about the ranking.

To answer a False/"No" statement like this, you need  one airtight discrepancy  that doesn't depend on ambiguous, rounded ties. That's what Bunuel's example gives you:

- By  Normal precipitation  (lowest up): July  0.8 , then  Aug 2.0 , then June  2.5  - August is  2nd lowest .
- By  Maximum precipitation  (lowest up): July  6.4 , then June  10.2 , then  Aug 15.1  - August is  3rd lowest .

August and June swap places, and those values ( 2.0  vs  2.5 ,  10.2  vs  15.1 ) are clearly distinct - no tie, no rounding ambiguity. That is a clean counterexample, so the rankings are genuinely  not  the same. Answer:  No .

Quick way to see the trap:  suppose two months both read  10  in one column but read  11  and  9  in another. You might  want  to say the ranks differ - but since the two  10 s are rounded, one could truly be  10.4  and the other  9.6 , so you don't actually know their order in the first column. That uncertainty is exactly why a tie can't do the proving. Always anchor a "No" on distinct, unambiguous values.

Answer: No

The table shows the normal and extreme high and low temperatures, and

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Month	Normal daily max (°C)	Normal daily min (°C)	Extreme high (°C)	Extreme low (°C)	Normal precipitation (cm)	Maximum precipitation (cm)
Jan.	11.7	5	25.6	-6.1	30.5	50.8
Feb.	12.8	5.6	29.4	-3.3	22.9	40.6
Mar.	12.8	5.6	26.7	-1.7	20.3	38.1
Apr.	13.9	6.1	33.3	0	10.2	29.2
May.	15.6	8.3	34.4	0	7.6	20.3
June	16.7	10	37.2	3.9	2.5	10.2
July	17.8	10.6	35.6	3.9	0.8	6.4
Aug.	17.8	11.1	35.6	5.6	2	15.1
Sept.	18.3	10.6	39.4	3.9	5.1	17.8
Oct.	16.7	8.9	35.6	0	10.2	33
Nov.	14.4	7.2	27.2	-1.7	22.9	45.7
Dec.	12.2	5.6	26.1	-7.8	30.5	48.3

Yes	No
		The ranking of the months based on normal precipitation values is the same as the ranking based on maximum precipitation values.
		Of the months with an extreme low of 0°C, only one has a normal daily low of less than 8°C.
		March does not rank highest or lowest in any category.

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­The table shows the normal and extreme high and low temperatures, and

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The table shows the normal and extreme high and low temperatures, and