IMOClass 7 › Data Handling

Data Handling

Mean, Median, Mode & Range

Measures of Center describe the typical value in a dataset.

MeasureDefinitionExample: {2,4,4,6,9}
MeanSum divided by count(2+4+4+6+9)=25 / 5 = 5
MedianMiddle value when data is sortedSorted: 2,4,4,6,9 — Middle = 4
ModeMost frequently occurring value4 appears twice — Mode = 4
RangeMaximum minus minimum9 - 2 = 7

When dataset has even count: Median = average of the two middle values.

Outliers affect the mean significantly but not the median.

FINDING MEDIAN:

Odd dataset: {2, 4, 4, 6, 9}
  Sorted: 2  4  [4]  6  9
                 ^
              Median = 4 (3rd of 5)

Even dataset: {2, 4, 6, 8}
  Sorted: 2  [4  6]  8
               ^
         Median = (4+6)/2 = 5

MEAN as balance point:
  Data: {2, 4, 4, 6, 9}  Mean=5
  Deviations: -3, -1, -1, +1, +4
  Sum of deviations = 0 (always!)
Example 1: For 3, 5, 7, 5, 9, find the mode and the range.
Mode = 5 (appears most); range = 9 − 3 = 6.
Example 2: Find the median of 2, 4, 6, 8, 10.
The middle value is 6.
Example 3: Find mean, median, mode, range: {7, 3, 8, 3, 9, 6}
Sorted: 3,3,6,7,8,9. Mean=36/6=6. Median=(6+7)/2=6.5. Mode=3 (appears twice). Range=9-3=6.
Example 4: Test scores: 85,90,78,92,88. A new score of 65 is added. What is the new mean?
Old sum=433. New sum=433+65=498. New mean=498/6=83.
Example 5: Set {5,7,9,11,x} has a mean of 10. Find x.
(5+7+9+11+x)/5 = 10 => 32+x = 50 => x = 18.
Quick recap
  • Mean = sum ÷ count; median = middle value; mode = most frequent.
  • Range = highest − lowest.
  • Mean is sensitive to outliers (extreme values)
  • Median is resistant to outliers
  • Mode is the most frequent value; a dataset can have no mode or multiple modes
  • Range measures spread (not center)
✓ Quick check
What is the range of 4, 9, 2, 7?
Range = 9 − 2 = 7.
What is the mode of 2, 3, 3, 4?
3 appears most often.

Bar Graphs & Double Bar Graphs

A bar graph shows data with bars whose heights give the values. A double bar graph places two bars side by side for each item, so two sets of data can be compared directly.

Example 1: What does a double bar graph let us do?
Compare two sets of data side by side.
Example 2: If one bar is 30 and another is 20, what is the difference?
30 − 20 = 10.
Quick recap
  • Bar height shows the value; the tallest is the most.
  • A double bar graph compares two data sets.
✓ Quick check
Bar A is 30 and bar B is 20. What is the difference?
30 − 20 = 10.
A double bar graph compares ___ ?
It compares two sets of data.

Probability

Probability measures the chance of an event, from 0 (impossible) to 1 (certain). It is found by P = (favourable outcomes) ÷ (total outcomes). A fair coin gives P(head) = ½.

Example 1: What is the probability of getting a head on a fair coin?
1 favourable out of 2 outcomes, so ½.
Example 2: What is the probability of a certain event?
1.
Quick recap
  • Probability ranges from 0 (impossible) to 1 (certain).
  • P = favourable outcomes ÷ total outcomes.
✓ Quick check
The probability of an impossible event is ___ ?
An impossible event has probability 0.
What is the probability of rolling a 3 on a fair die?
1 favourable out of 6 outcomes, so 1/6.
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