Data Tables · Bar Graphs · Line Graphs · Pie Charts · Probability
Every day, we are surrounded by data — the runs scored by a cricket team, the temperature recorded each day, the marks obtained by students, the rainfall in different cities. But raw numbers by themselves are hard to understand. That is why we use graphs and charts to turn boring numbers into visual stories.
In this chapter, "Tales by Dots and Lines", we learn how dots (data points) and lines (connections between data points) can tell powerful stories. A single glance at a well-drawn graph can reveal trends, patterns, and comparisons that would take minutes to understand from a table of numbers.
| Topic | Key Concepts |
|---|---|
| Organising Data in Tables | Tally marks, frequency tables, grouped data |
| Bar Graphs | Vertical and horizontal bar graphs, reading and drawing |
| Double Bar Graphs | Comparing two data sets side by side |
| Line Graphs | Showing change over time, interpreting trends |
| Pie Charts / Circle Graphs | Representing parts of a whole, angle calculations |
| Misleading Graphs | How scale, origin, and design can mislead readers |
| Probability Basics | Chance, outcomes, events, experimental probability |
Before we can draw any graph, we must first organise the raw data into a clear and systematic format. The most common way to do this is by creating a frequency table.
A frequency table shows how often each value or category appears in a data set. The word "frequency" simply means "how many times."
| Fruit | Tally Marks | Frequency |
|---|---|---|
| Apple | ┃┃┃┃ ┃ | 6 |
| Mango | ┃┃┃┃ ┃┃ | 7 |
| Banana | ┃┃┃┃ | 4 |
| Orange | ┃┃┃ | 3 |
| Total | 20 |
When data has many different values (like marks from 0 to 100), we group them into class intervals to make the table simpler.
| Marks Range | Number of Students |
|---|---|
| 0 – 20 | 3 |
| 20 – 40 | 8 |
| 40 – 60 | 12 |
| 60 – 80 | 10 |
| 80 – 100 | 7 |
| Total | 40 |
A bar graph (or bar chart) uses rectangular bars to represent data. The length or height of each bar corresponds to the value it represents. Bars are of equal width and are separated by equal gaps.
Favourite Fruits of 20 Students
Y-axis: Number of Students | X-axis: Fruits
In a horizontal bar graph, the bars extend from left to right. The categories are on the y-axis and the values are on the x-axis. This is useful when category names are long (e.g., city names, book titles).
A double bar graph uses two bars for each category to compare two related data sets side by side. Each set of bars is shown in a different colour, and a legend explains which colour represents which data set.
Riya's Marks: Mid-term vs Final
Scale: Height proportional to marks (max 100)
A line graph shows data points connected by straight lines. It is especially useful for showing how data changes over time (a trend). Each point on the graph represents a value, and the line connecting them shows the overall direction of change.
Temperature Over a Week (°C)
A pie chart (also called a circle graph) is a circle divided into sectors (slices), where each sector represents a part of the whole. The size of each sector is proportional to the fraction or percentage it represents.
Monthly Spending Breakdown
Not all graphs tell the truth! Sometimes, graphs are drawn in ways that can mislead the reader into drawing incorrect conclusions. It is important to learn how to spot misleading graphs.
What is the chance of rain tomorrow? What is the likelihood of getting a 6 when you roll a die? Probability is the branch of mathematics that deals with chance and likelihood.
The experimental probability (also called empirical probability) of an event is calculated by actually performing the experiment many times and recording the results.
When all outcomes are equally likely, we can calculate the theoretical probability without performing the experiment:
| Property | Statement | Example |
|---|---|---|
| Range | 0 ≤ P(E) ≤ 1 | Probability is always between 0 and 1 |
| Certain Event | P(certain event) = 1 | P(getting a number ≤ 6 on a die) = 1 |
| Impossible Event | P(impossible event) = 0 | P(getting 7 on a standard die) = 0 |
| Complement | P(not E) = 1 − P(E) | P(not getting 6) = 1 − 1/6 = 5/6 |
| Sum of all outcomes | Sum of probabilities of all outcomes = 1 | P(H) + P(T) = 1 for a fair coin |
| Marks Range | Boys | Girls |
|---|---|---|
| 0 – 20 | 2 | 1 |
| 20 – 40 | 4 | 3 |
| 40 – 60 | 5 | 6 |
| 60 – 80 | 3 | 4 |
| 80 – 100 | 1 | 1 |
| Graph Type | Best Used For | Key Feature |
|---|---|---|
| Bar Graph | Comparing categories | Equal-width bars, equal gaps |
| Double Bar Graph | Comparing two data sets | Two bars per category + legend |
| Line Graph | Change over time (trends) | Points connected by lines |
| Pie Chart | Parts of a whole | Circle divided into sectors (360°) |
| Fact | Value |
|---|---|
| P(certain event) | 1 |
| P(impossible event) | 0 |
| P(E) + P(not E) | 1 |
| Outcomes of a coin toss | {H, T} — 2 outcomes |
| Outcomes of a die roll | {1, 2, 3, 4, 5, 6} — 6 outcomes |
| Outcomes of two dice | 6 × 6 = 36 outcomes |
| Cards in a standard deck | 52 (4 suits × 13 cards) |
Click on an option to see if your answer is correct. The correct option will turn green.
Use these flashcards for last-minute revision before your exam. Read the question, try to answer mentally, then check!