Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Types of Data: Data can be Categorical (descriptive labels like colors) or Numerical (quantities). Numerical data is further divided into Discrete data, which consists of distinct, countable values (e.g., number of siblings), and Continuous data, which can take any value within a range (e.g., weight or height). Visually, discrete data is often represented with gaps between bars in a bar chart, while continuous data is shown in histograms where the bars are adjacent to represent a scale.
Frequency Tables: A systematic method to organize raw data. It typically contains columns for the 'Value' or 'Class Interval', 'Tally' marks, and 'Frequency'. For large ranges of continuous data, we use Grouped Frequency Tables where data is placed into intervals like . Visually, this simplifies a chaotic list of numbers into a clear, structured list.
Measures of Central Tendency (Mean, Median, Mode): These values describe the 'center' of a dataset. The Mean is the calculated average. The Median is the middle value when data is arranged in ascending order; if there is an even number of data points, it is the average of the two middle values. The Mode is the value that appears most frequently. Visually, on a bar chart, the Mode is the tallest bar.
Measures of Dispersion (Range): The Range indicates the spread of the data. It is the difference between the maximum and minimum values in the set. A small range suggests that data points are clustered closely together, while a large range suggests they are widely spread out. Visually, the range represents the total horizontal width of the data distribution on a number line.
Pie Charts: A circular representation of data where the total circle represents or . The circle is divided into 'sectors' or slices. The size of each sector's angle is directly proportional to the frequency of the category it represents. Larger slices visually communicate a higher frequency or proportion of the total.
Stem-and-Leaf Plots: A plot used to display the distribution of a small to medium dataset while preserving individual data values. The 'stem' (usually the tens digit) is listed vertically, and the 'leaves' (usually the units digit) are listed horizontally. Visually, it looks like a horizontal bar chart made of numbers, allowing you to see both the shape of the data and every specific value.
Histograms vs. Bar Charts: Bar charts are used for discrete or categorical data, where bars are separated by gaps. Histograms are used for continuous data, where bars are drawn without gaps to show the continuity of the data range. In a histogram with equal class widths, the height of the bar represents the frequency of that interval.
📐Formulae
Mean () for a list of values:
Mean from a frequency table:
Range:
Sector Angle in a Pie Chart:
Position of the Median:
💡Examples
Problem 1:
A student records their test scores: . Calculate the Mean, Median, Mode, and Range.
Solution:
- Mean:
- Median: Arrange in order: . The middle value is .
- Mode: The value appears twice, which is more than any other value. Mode = .
- Range: .
Explanation:
To find the mean, sum all values and divide by the count. For the median, the data must be sorted first. The mode is identified by frequency, and the range measures the spread between the highest and lowest scores.
Problem 2:
In a survey of students, students chose 'Blue' as their favorite color. Calculate the angle this sector would occupy in a pie chart.
Solution:
Using the sector angle formula:
Explanation:
The fraction of the total students is converted into a portion of the available in a full circle. Since out of is , the angle is of .