Data Handling
Charts & averages
Organise data with tables and charts and calculate mean, median, and mode.
Data handling starts with organizing data clearly, choosing suitable charts, and summarizing a dataset with averages.
Frequency tables
A frequency table records each value (or class interval) and how often it appears. For grouped data, use class midpoints for estimation.
Common charts
- Bar chart: categorical comparisons.
- Histogram: continuous grouped data (touching bars).
- Line graph: change over time.
- Pie chart: part-to-whole proportions.
- Box plot: spread via quartiles and median.
Mean, median, and mode
\[ \text{Mean}=\frac{\text{sum of values}}{\text{number of values}}. \]
Median is middle value when ordered. Mode is most frequent value.
Mean from frequency table
\[ \bar{x}=\frac{\sum fx}{\sum f}. \]
where \(x\) is value (or midpoint), \(f\) is frequency.
Choosing an average
- Use mean when data has no extreme outliers.
- Use median when distribution is skewed.
- Use mode for most common category/value.
Exam strategy
- Label axes and units clearly on charts.
- Check scale intervals before reading values.
- Order data before finding median and quartiles.
- State if an answer is estimated from grouped data.
Checkpoints
Find mean of 4, 7, 7, 10, 12.
Answer: \(\frac{40}{5}=8\).
Find median of 5, 2, 9, 4, 11, 6.
Answer: Order: 2,4,5,6,9,11. Median \(=\frac{5+6}{2}=5.5\).
Find mode of 3, 5, 5, 5, 8, 8, 9.
Answer: 5.
For values 1,2,3 with frequencies 4,5,1, find mean.
Answer: \(\bar{x}=\frac{1(4)+2(5)+3(1)}{10}=\frac{17}{10}=1.7\).
Which average is best for house prices with extreme luxury homes?
Answer: Median (less affected by outliers).
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