📊 Parts of a Table:

• Title: Tells what the table is about
• Column Headers: Labels at the top of columns
• Row Headers: Labels on the left side
• Data/Values: Numbers or information in cells

✏️ Example Table:

Favorite Fruits Survey

Questions to ask: Which fruit is most popular? How many students chose banana?

💡 Reading Tips:

• Read the title first to understand the data
• Locate the row and column for the data you need
• Follow the row across and column down to find the value
• Check units (numbers, dollars, percentages, etc.)

📐 Parts of a Bar Graph:

• Title: Describes what the graph shows
• Horizontal Axis (x-axis): Categories or labels
• Vertical Axis (y-axis): Number scale
• Bars: Show the value for each category
• Scale: Numbers on the y-axis (intervals should be equal)

📝 Properties of Bar Graphs:

• All bars have equal width
• All bars have a common base
• Height/length of bar = value of data
• Equal spacing between bars

✏️ How to Create a Bar Graph:

1. Step 1: Draw horizontal (x) and vertical (y) axes
2. Step 2: Write title at the top
3. Step 3: Label x-axis (categories) and y-axis (numbers)
4. Step 4: Choose appropriate scale for y-axis
5. Step 5: Draw bars with correct heights
6. Step 6: Make sure bars are equal width with equal spacing

💡 Types of Bar Graphs:

• Vertical Bar Graph: Bars go up from bottom to top
• Horizontal Bar Graph: Bars go left to right

📊 Parts of a Line Plot:

• Title: What the data represents
• Number Line: Shows the range of values
• X's or Dots: Each X represents one data point
• Labels: Description of what is being measured

✏️ Example Line Plot:

Number of Pets Students Have

    X
    X           X
    X   X   X   X   X
    X   X   X   X   X   X
________________________________
0   1   2   3   4   5   6
        Number of Pets
                

Reading: 4 students have 0 pets, 3 students have 1 pet, etc.

📝 How to Create a Line Plot:

1. Draw a horizontal number line
2. Mark equal intervals based on data range
3. Write a title above the plot
4. Label the number line (what is being measured)
5. Place an X above each number for each data point
6. Stack X's if multiple data points have same value

💡 Uses of Line Plots:

• Shows how data is distributed
• Easy to see most common value (mode)
• Can show data with fractions (like ½, ¼)
• Good for small sets of numerical data

📊 Parts of a Frequency Table:

• Title: What data is being counted
• Category Column: Lists items or values
• Tally Column: Uses tally marks (||||) to count
• Frequency Column: Shows total count as a number

✏️ Example Frequency Table:

Favorite Colors Survey

📝 How to Create a Frequency Table:

1. List all categories or values in first column
2. Use tally marks to count (|||| = 5)
3. Count tally marks and write frequency number
4. Add all frequencies to find total

🔑 Key Formula:

Total = Sum of All Frequencies

📐 How Stem-and-Leaf Works:

✏️ Example Stem-and-Leaf Plot:

Test Scores: 23, 27, 30, 35, 38, 42, 45, 49

📝 How to Create Stem-and-Leaf Plot:

1. Step 1: Arrange data in order (smallest to largest)
2. Step 2: Draw a table with two columns: Stem | Leaf
3. Step 3: Write all possible stem values in order
4. Step 4: For each data point, write leaf digit next to stem
5. Step 5: List leaves in order from smallest to largest
6. Step 6: Include a key showing how to read the plot

💡 Advantages:

• Shows all original data values
• Easy to see distribution and gaps
• Data is automatically organized
• Can find mode, median, range easily

📊 Graph Selection Guide:

💡 Quick Decision Guide: