Overview
This topic introduces how data is organized, visualized, and interpreted. You'll learn to read charts, summarize datasets, calculate basic statistics, and understand the concept of normal distribution. These skills are essential for interpreting patterns and making informed decisions using real-world data.
Key Concepts and Structures
- Types of Data Displays:
- Bar Graphs: compare categories
- Pie Charts: show parts of a whole
- Line Graphs: track trends over time
- Histograms: show frequency distribution for intervals
- Scatterplots: examine relationships between variables
- Measures of Center:
- Mean: Arithmetic average
- Median: Middle number when sorted
- Mode: Most frequent number
- Range: Difference between maximum and minimum values
- Standard Deviation (Conceptual): Describes how spread out the data is from the mean
- Normal Distribution: Symmetrical, bell-shaped curve where most values cluster around the mean
- Outliers: Unusually high or low values that may skew results
Step-by-Step Example
Problem: Find the mean, median, and mode of the dataset:
8, 12, 10, 8, 14
Step 1: Mean:
(8 + 12 + 10 + 8 + 14) / 5 = 52 / 5 = 10.4
Step 2: Median (sort first):
8, 8, 10, 12, 14
→ middle value is 10
Step 3: Mode:
8
appears most often
Final Answer: Mean = 10.4, Median = 10, Mode = 8
Quick Tip
When analyzing data, always sort your values first—it makes it easier to identify the median, range, and mode correctly.