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The median of the data is approximately 33.63.
Solución
-
Determine the total frequency and the median position.
Since the frequencies are
10–20: 4
21–30: 3
31–40: 16
41–50: 1,
the total frequency is
Thus, the median is at the
th position. -
Compute the cumulative frequencies for each class interval.
- For 10–20:
- For 21–30:
- For 31–40:
- For 41–50: -
Identify the median class.
The median position is.
- The first class (10–20) has a cumulative frequency of 4;
- The second class (21–30) has a cumulative frequency of 7.
Sinceand the third class (31–40) has a cumulative frequency of 23, the th value lies in the third class. -
Write down the median formula for grouped data.
The general formula is
where
- is the lower boundary of the median class,
- is the width of the median class,
- is the cumulative frequency of the class preceding the median class, and
- is the frequency of the median class.
-
-
-
-
-
Determine the values from the table using continuous class boundaries.
For the median class 31–40, if the original class limits are 31 and 40 then the lower boundary is given by
(using a correction of for continuity) and the class width is
Also,
(cumulative frequency before the median class) and
(frequency of the median class). -
Substitute into the formula.
Simplify the expression inside the parentheses:
Thus,
- Calculate the final value.
So,
The median of the data is approximately
.
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Beyond the Answer
The concept of class intervals and frequency distributions has a long history in statistics, allowing researchers to categorize data effectively. It became popular in the 19th century when advances in statistical theory made it easier to analyze large datasets. This system helps in understanding patterns and making sense of numerical data by summarizing and grouping raw data into manageable chunks!
In today’s world, understanding how to interpret and create frequency distributions is more relevant than ever. From market research to academic studies, businesses and researchers rely on these concepts for data analysis. Properly visualizing data trends can guide decision-making processes, from product development to targeting customer demographics—turning numbers into actionable insights that drive success!

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