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For a given city, the graph represents the daily deviation, in degrees Fahrenheit (°F), of the high temperature from the...

GMAT Graphics Interpretation : (GI) Questions

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Graphics Interpretation
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Graph showing daily temperature deviation data

For a given city, the graph represents the daily deviation, in degrees Fahrenheit (\(°\mathrm{F}\)), 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 \((\mathrm{T}-2)°\mathrm{F}\) but less than \((\mathrm{T}+2)°\mathrm{F}\). The height of each bar represents the number of deviations in the corresponding class. A given day's high temperature is \(\mathrm{x}°\mathrm{F}\) less than seasonal if it is \(\mathrm{x}°\mathrm{F}\) less than the left endpoint of the class centered at \(0\), and the high temperature is \(\mathrm{x}°\mathrm{F}\) greater than seasonal if it is \(\mathrm{x}°\mathrm{F}\) 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 isand the probability that the high temperature was more than 8°F less than seasonal is­
Solution

Owning the Dataset

Table 1: Text Analysis

Text Component Literal Content Simple Interpretation
Subject Matter daily deviation, in degrees Fahrenheit (\(\mathrm{°F}\)), of the high temperature from the expected high temperature Measures how high temperatures differed from the expected each day
Geographic Context For a given city Data is for one unnamed city
Time Period 100-day period Data covers exactly 100 consecutive days
Data Grouping Method Data is grouped into disjoint classes of deviations Deviations are grouped into separate bins without overlap
Class Definition For each value of T on the horizontal axis, the class centered at T includes all observed deviations \(\geq \mathrm{(T-2)°F}\) but \(< \mathrm{(T+2)°F}\) Each group spans \(\mathrm{4°F}\), centered on T
Bar Height Meaning The height of each bar represents the number of deviations in the corresponding class Taller bars mean more days with that range of deviation
"Less than seasonal" definition If a day's high is \(\mathrm{x°F}\) less than the left endpoint of the class centered at 0 Means \(\mathrm{x°F}\) below \(\mathrm{-2°F}\)
"Greater than seasonal" definition If a day's high is \(\mathrm{x°F}\) greater than the right endpoint of the class centered at 0 Means \(\mathrm{x°F}\) above \(\mathrm{+2°F}\)

Table 2: Chart Analysis

Chart Component What's Shown Meaning
Chart Type Histogram (bar chart) Distribution of temperature deviation counts
X-axis Deviation class centers: -12, -8, -4, 0, 4, 8, 12 Center of \(\mathrm{4°F}\)-wide bins, range from \(\mathrm{-14°F}\) to \(\mathrm{+14°F}\)
Y-axis Number of deviations (up to 40) For each bin, indicates how many days' highs fell in that deviation range
Bars (Heights) -12: 2, -8: 12, -4: 18, 0: 34, 4: 16, 8: 15, 12: 3 Most days clustered at \(\mathrm{0°F}\) (center); very few extreme deviations
Distribution Bell-shaped, centered at \(\mathrm{0°F}\) Typical high temperatures usually close to the expected, few outliers
Total Days Sum = 100 Accounts for all days in the period

Key Insights

The majority of days (34 out of 100) had a high temperature within \(\pm\mathrm{2°F}\) of the expected value, as shown by the tallest central bar. There is a noticeable cold skew: 32 days (bars at -4, -8, -12) had highs at least \(\mathrm{2°F}\) colder than expected, whereas only 15 + 3 = 18 days (bars at 8, 12) had highs at least \(\mathrm{6°F}\) above expected. The data forms a normal-like (bell) distribution, with most values near \(\mathrm{0°F}\) deviation and quickly decreasing frequency for larger deviations. The definition of deviation bins and class endpoints is crucial for interpreting which days are counted as 'more than \(\mathrm{x°F}\) less/greater than seasonal.' No days exceeded \(\pm\mathrm{14°F}\) deviation.

Step-by-Step Solution

Question 1: Probability of High Temperature More Than \(\mathrm{4°F}\) Below Seasonal

Complete Statement:

For a randomly selected day in this 100-day period, the probability that the high temperature was more than \(\mathrm{4°F}\) less than seasonal is ______

Breaking Down the Statement
  • Statement Breakdown 1:
    • Key Phrase: randomly selected day in this 100-day period
    • Meaning: We're asked to calculate the probability out of all 100 days represented.
    • Relation to Chart: The chart's total is 100 days; each bar represents a number of days.
    • Important Implications: The denominator for probability is 100.
  • Statement Breakdown 2:
    • Key Phrase: more than \(\mathrm{4°F}\) less than seasonal
    • Meaning: We seek days where the deviation is more than \(\mathrm{4°F}\) below seasonal.
    • Relation to Chart: Seasonal is set at the left endpoint of the class centered at \(\mathrm{0°F}\), which is \(\mathrm{-2°F}\). So, more than \(\mathrm{4°F}\) less means less than \(\mathrm{-6°F}\) (\(\mathrm{-2°F - 4°F = -6°F}\)).
    • Important Implications: We need to count days where the temperature deviation is less than \(\mathrm{-6°F}\).

What is needed: The proportion of days with temperature deviations less than \(\mathrm{-6°F}\) (colder than \(\mathrm{-6°F}\)), out of 100.

Solution:
  • Condensed Solution Implementation:
    Examine the histogram classes to find the total number of days where deviations are less than \(\mathrm{-6°F}\).
  • Necessary Data points:
    Class centered at \(\mathrm{-8°F}\) (range: \(\mathrm{-10°F}\) to \(\mathrm{-6°F}\)) has 12 days; class centered at \(\mathrm{-12°F}\) (range: \(\mathrm{-14°F}\) to \(\mathrm{-10°F}\)) has 2 days.
    • Calculations Estimations:
      Total days = 12 (from \(\mathrm{-8°F}\) class) + 2 (from \(\mathrm{-12°F}\) class) = 14 days. Probability = \(\mathrm{\frac{14}{100} = 0.14}\).
    • Comparison to Answer Choices:
      The answer 0.14 matches one of the provided choices.
FINAL ANSWER Blank 1: 0.14

Question 2: Probability of High Temperature More Than \(\mathrm{8°F}\) Below Seasonal

Complete Statement:

and the probability that the high temperature was more than \(\mathrm{8°F}\) less than seasonal is ______

Breaking Down the Statement
  • Statement Breakdown 1:
    • Key Phrase: more than \(\mathrm{8°F}\) less than seasonal
    • Meaning: We seek days where the deviation from seasonal is greater than \(\mathrm{8°F}\) (colder by more than \(\mathrm{8°F}\)).
    • Relation to Chart: Seasonal is \(\mathrm{-2°F}\), so we look for deviations less than \(\mathrm{-10°F}\) (\(\mathrm{-2°F - 8°F = -10°F}\)).

What is needed: The proportion of days with temperature deviations less than \(\mathrm{-10°F}\) out of 100 days.

Solution:
  • Condensed Solution Implementation:
    Identify which histogram class includes values less than \(\mathrm{-10°F}\) and how many days are in that range.
  • Necessary Data points:
    Class centered at \(\mathrm{-12°F}\) (range: \(\mathrm{-14°F}\) to \(\mathrm{-10°F}\)) has 2 days.
    • Calculations Estimations:
      Only 2 days qualify. Probability = \(\mathrm{\frac{2}{100} = 0.02}\).
    • Comparison to Answer Choices:
      The answer 0.02 matches one of the provided choices.
FINAL ANSWER Blank 2: 0.02

Summary

For both blanks, determine where 'seasonal' is on the chart (at \(\mathrm{-2°F}\)), then subtract the given number (\(\mathrm{4°F}\) and \(\mathrm{8°F}\)) to set the cutoff. Count the days in the relevant classes that fall below the threshold, divide by 100, and select the matching answer. Answers: 0.14 and 0.02.

Question Independence Analysis

Each blank asks about temperatures with a different deviation below 'seasonal', and does not depend on the others. They both use the same method and data, but each answer stands alone.

Answer Choices Explained
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
1A
0.12
1B
0.14
1C
0.18
1D
0.24
and the probability that the high temperature was more than 8°F less than seasonal is
2A
0.02
2B
0.05
2C
0.12
2D
0.15
­
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