QUESTION IMAGE
Question
- table 1.12 shows the distance covered by 20 randomly selected runners in kilometers.
table 1.12
\
\text{lcb} =
\text{cf} =
\text{f} =
\text{n} =
\text{i} =
\frac{n}{2} = \frac{20}{2} = 10
⚡ Using what you learned: Median · 🆕 New Concept Discovered: Grouped Data Median
Finding the middle value when data is grouped into intervals.
Step 1: Identify the Median Class
To find the median of grouped data, we first locate the median class. This is the class interval containing the middle value, which is at position:
Looking at the cumulative frequency (\(cf\)) column:
- The first class (\(6\text{--}10\)) contains up to the 2nd value.
- The second class (\(11\text{--}15\)) contains up to the 3rd value.
- The third class (\(16\text{--}20\)) contains up to the 7th value.
- The fourth class (\(21\text{--}25\)) contains up to the 13th value.
Since the 10th value falls into the cumulative frequency of 13, the median class is \(21\text{--}25\).
Step 2: Determine the Required Parameters
Using the median class \(21\text{--}25\) (with class boundary \(20.5\text{--}25.5\)), we extract the values for each variable:
- \(LCB\) (Lower Class Boundary of the median class):
- \(cf\) (Cumulative frequency of the class before the median class):
- \(f\) (Frequency of the median class):
- \(n\) (Total number of frequencies):
- \(i\) (Class width/interval size):
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- \(LCB\) = \(20.5\)
- \(cf\) = \(7\)
- \(f\) = \(6\)
- \(n\) = \(20\)
- \(i\) = \(5\)