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Difficulty:
75%
(hard)
Question Stats:
60%
(02:28)
correct 40%
(02:37)
wrong
based on 1420
sessions
History
Date
Time
Result
Not Attempted Yet
Attachment:
12.jpg [ 42.01 KiB | Viewed 42024 times ]
For a given city, the graph represents the daily deviation, in degrees Fahrenheit (°F), of the high temperature from the expected high temperature for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F. The height of each bar represents the number of deviations in the corresponding class. A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is and the probability that the high temperature was more than 8°F less than seasonal is
It's essential to read carefully, to fully understand the graph and what it's asking for. We must find the specific definition of "4°F less than seasonal" in the passage.
For a given city, the graph represents the daily deviation, in degrees Fahrenheit (°F), of the high temperature from the expected high temperature for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F. The height of each bar represents the number of deviations in the corresponding class. A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is and the probability that the high temperature was more than 8°F less than seasonal is
How to read the graph:
- for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F.
This means that the bar centred at 0 goes from -2 to 2 (obvious from the graph) but the values it includes are -2 <= x < 2
- The height of each bar represents the number of deviations in the corresponding class.
The height of this bar centred at 0 is 34 so there were 34 days when the daily deviation was -2 to 2.
- A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
The left endpoint of class centred at 0 is -2 and right endpoint is 2. A given day's high temperature is x°F less than seasonal if it is x°F less than -2 A given day's high temperature is x°F greater than seasonal if it is x°F greater than 2.
Example, for a day, the high temperature was more than 4°F less than seasonal when it was less than -6. and for a day, the high temperature was more than 4°F greater than seasonal when it was more than 6.
Question: For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is ___ and the probability that the high temperature was more than 8°F less than seasonal is ___
There are 100 days. 4°F less than seasonal is values to the left of -6. There are 12 + 2 = 14 such values. Probability = 14/100 = 0.14
8°F less than seasonal is values to the left of -10. There are 2 such values. Probability = 2/100 = 0.02
It's essential to read carefully, to fully understand the graph and what it's asking for. We must find the specific definition of "4°F less than seasonal" in the passage.
I watched your video. GMAC is giving different answers.
They say it is 0.18 and .03.
I think it is easier than you make it out to be.
4 to the left is a bar with a height of 18, and 8 to the right is a bar with a height of 3. (You counted left for the second one, the second one is actually more not less.)
It's essential to read carefully, to fully understand the graph and what it's asking for. We must find the specific definition of "4°F less than seasonal" in the passage.
I watched your video. GMAC is giving different answers.
They say it is 0.18 and .03.
I think it is easier than you make it out to be.
4 to the left is a bar with a height of 18, and 8 to the right is a bar with a height of 3. (You counted left for the second one, the second one is actually more not less.)
Where is GMAC giving different answers? Do you have a screenshot?
Here's a screenshot of the question on exam 1 (taken on 6/16/23), with the same answers as above.
The reason we are counting to the left is that the stem says: "more than 8°F LESS than seasonal". And the passage gives the definition of "LESS than seasonal": "A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0"
@Sajjad1994 One little detail I notice in the screenshot below is that "less than seasonal" and "greater than seasonal" are italicized; this could be nice to add to the question above, since it's helpful in finding the definition efficiently. Italics are reasonably common on DI and can help save time.
Attachments
2024-02-22 20_30_19-Data Insights 9 of 20.png [ 363.92 KiB | Viewed 31141 times ]
There are at least 2 different versions of this question. I believe the datasets for these versions are the same. The difference stems from the question statement.
So, when you are solving questions and watching solutions, please ensure that you are watching the solution of the appropriate question stem.
Secondly, should different versions be posted as separate threads that are linked, or should they all be in the same thread since the dataset analysis will be common for all? @Sajjad1994.
Version 1: Question in the main post in this thread and in the solution posted by GMATCoachBen
Version 2: Question in Mock 4 that I believe is being referenced by Sixcarbs
This statement " "more than 8°F LESS than seasonal". And the passage gives the definition of "LESS than seasonal": "A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0"" is very difficult to comprehend in such less time. I almost guessed this que because I found it very time consuming to comprehend. Any opinion on this ques wrt time and same experience?
This is a difficult GI question – from multiple aspects.
The chart – a histogram – not your typical line or bar chart. Since we don’t handle histograms as much as we handle line or bar charts, the chart itself adds the layer of complexity.
The translation required to understand the histogram – For this one needs to visualize one of the datapoints.
Two definitions – faily complex in the dataset. If one does not use strategic pausing to understand these definitions, then solving this question will be very challenging.
The question statement – that uses the definition is also complex to understand.
The only thing that is not complex in this question is the calculation of probability. That is the simplest aspect of the solution.
So, as you watch this solution, pay close attention to each of the above pointers and work towards building your skill set in ‘owning the dataset’.
For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is [0.14] and the probability that the high temperature was more than 8°F less than seasonal is [0.02]
4°F less => - 4 more than 4°F less than seasonal => first two columns in the left: 2 + 12 = 14 => 0.14
8°F less => -8 more than 8°F less than seasonal => first column in the left: 2 => 0.02
This is a silly question but can someone clarify why we cannot perceive the statement "the high temperature was more than 4°F less than seasonal" as (the high temperature was more than) (4°F less than seasonal), instead of (the high temperature was more than 4°F) (less than seasonal).
Like for example, if I say "the temperature is more than 10°C less than room temperature". If the Room Temp. is 25°C, then the temp is more than (10°C less than room temperature) So, the temp is more than 15°C.
This is a silly question but can someone clarify why we cannot perceive the statement "the high temperature was more than 4°F less than seasonal" as (the high temperature was more than) (4°F less than seasonal), instead of (the high temperature was more than 4°F) (less than seasonal).
Like for example, if I say "the temperature is more than 10°C less than room temperature". If the Room Temp. is 25°C, then the temp is more than (10°C less than room temperature) So, the temp is more than 15°C.
pranjalshah Interesting question. For the meaning you wrote above, "the temp is more than (10°C less than room temperature)", we would normally use the word HIGHER or ABOVE instead of "more".
Then, the meaning becomes: "the temp is higher than 15°C", or "the temp is above 15°C".
I really have hard time understanding the meaning of more than less in mathematical terms. Otherwise this is a fairly simple ques of 605 level.
a smart way would be : Try to see both sides of histogram and calculate the probability pair for both cases as the ques is asked for same side of graph (left or right of histogram)
Pair would be either (0.14, 0.02) or (0.18 , 0.03).
First ones goes right .
Attachments
image_2024-08-01_121300085.png [ 120.43 KiB | Viewed 20427 times ]
Q1: high temperature was more than 4°F less than seasonal i.e deviation was more than -4°F i.e it could be -5°F or -7°F so it should be 2 days + 12 days + some more days (perhaps 18/2) so I marked 0.24
Q2: high temperature was more than 8°F less than seasonal i.e deviation was more than -8°F i.e it could be -9°F or -10°F so it should be 2 days + some more days (perhaps 12/2) so I marked 0.05
For a given city, the graph represents the daily deviation, in degrees Fahrenheit (°F), of the high temperature from the expected high temperature for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F. The height of each bar represents the number of deviations in the corresponding class. A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is and the probability that the high temperature was more than 8°F less than seasonal is
How to read the graph:
- for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F.
This means that the bar centred at 0 goes from -2 to 2 (obvious from the graph) but the values it includes are -2 <= x < 2
- The height of each bar represents the number of deviations in the corresponding class.
The height of this bar centred at 0 is 34 so there were 34 days when the daily deviation was -2 to 2.
- A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
The left endpoint of class centred at 0 is -2 and right endpoint is 2. A given day's high temperature is x°F less than seasonal if it is x°F less than -2 A given day's high temperature is x°F greater than seasonal if it is x°F greater than 2.
Example, for a day, the high temperature was more than 4°F less than seasonal when it was less than -6. and for a day, the high temperature was more than 4°F greater than seasonal when it was more than 6.
Question: For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is ___ and the probability that the high temperature was more than 8°F less than seasonal is ___
There are 100 days. 4°F less than seasonal is values to the left of -6. There are 12 + 2 = 14 such values. Probability = 14/100 = 0.14
8°F less than seasonal is values to the left of -10. There are 2 such values. Probability = 2/100 = 0.02
When you actually go to compute those probabilities, you don’t “add some more days” – you just take the full counts shown in the bars and divide by 100.
For “more than 4 °F below seasonal” you want every day with deviation < −4. That is exactly the two left-most bars (centered at −8 and −12) with counts 12 and 2. So: P(deviation < −4) = \(\frac{12+2}{100}\) = 0.14
For “more than 8 °F below seasonal” you want every day with deviation < −8. That’s only the bar at −12, count = 2, so: P(deviation < −8) = \(\frac{2}{100}\) = .02
callingTardis
Q1: high temperature was more than 4°F less than seasonal i.e deviation was more than -4°F i.e it could be -5°F or -7°F so it should be 2 days + 12 days + some more days (perhaps 18/2) so I marked 0.24
Q2: high temperature was more than 8°F less than seasonal i.e deviation was more than -8°F i.e it could be -9°F or -10°F so it should be 2 days + some more days (perhaps 12/2) so I marked 0.05
For a given city, the graph represents the daily deviation, in degrees Fahrenheit (°F), of the high temperature from the expected high temperature for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F. The height of each bar represents the number of deviations in the corresponding class. A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is and the probability that the high temperature was more than 8°F less than seasonal is
How to read the graph:
- for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T-2)°F but less than (T+2)°F.
This means that the bar centred at 0 goes from -2 to 2 (obvious from the graph) but the values it includes are -2 <= x < 2
- The height of each bar represents the number of deviations in the corresponding class.
The height of this bar centred at 0 is 34 so there were 34 days when the daily deviation was -2 to 2.
- A given day's high temperature is x°F less than seasonal if it is x°F less than the left endpoint of the class centered at 0, and the high temperature is x°F greater than seasonal if it is x°F greater than the right endpoint of the class centered at 0.
The left endpoint of class centred at 0 is -2 and right endpoint is 2. A given day's high temperature is x°F less than seasonal if it is x°F less than -2 A given day's high temperature is x°F greater than seasonal if it is x°F greater than 2.
Example, for a day, the high temperature was more than 4°F less than seasonal when it was less than -6. and for a day, the high temperature was more than 4°F greater than seasonal when it was more than 6.
Question: For a randomly selected day in this 100-day period, the probability that the high temperature was more than 4°F less than seasonal is ___ and the probability that the high temperature was more than 8°F less than seasonal is ___
There are 100 days. 4°F less than seasonal is values to the left of -6. There are 12 + 2 = 14 such values. Probability = 14/100 = 0.14
8°F less than seasonal is values to the left of -10. There are 2 such values. Probability = 2/100 = 0.02