Data and Graphs | 5th Grade Math

📊 Grade 5 Math: Data and Graphs – Notes & Formulae

1. Line Plots

Interpret Line Plots (Whole Numbers): Identify frequency of each value by counting the markers (X’s) above each number. Useful for quick data comparison.
Create Line Plots with Decimals/Fractions: Place markers above correct values (including decimal/fraction positions) to represent data counts.

Example: If values are 2, 3, 4, markers above 2, 3, 4 show how many times each occurs.

Line Plot Key Formula: Frequency = Number of X’s above value

2. Line Graphs

Create Line Graphs: Plot points for each value over categories (often time), then connect with line segments.
Interpret Line Graphs: Look for trends (increasing, decreasing, steady).

Formula: Change over time (Slope)
Slope = \(\frac{y_2 - y_1}{x_2 - x_1}\)

3. Bar Graphs

Create Bar Graphs: Draw bars to represent data categories. Height = frequency.
Interpret Bar Graphs (Single & Multi-Step): Compare bar heights for answers.

Bar Height Formula:
Height_{bar} = Frequency_{category}

4. Frequency Tables

Create Frequency Tables: List data values and their frequencies.
Interpret (One-Step & Multi-Step): Add, subtract, compare frequencies for problem-solving.

Formula: Total data points = \(\sum{f_i}\) (where \(f_i\) is frequency of each value)

5. Stem-and-Leaf Plots

Create Stem-and-Leaf Plots: "Stem" is the leading digits, "Leaf" are trailing digits.
Interpret Stem-and-Leaf Plots: Quickly see data distribution and calculate median, mode.

Example: 34, 35, 38 → Stem: 3, Leaf: 4,5,8

6. Scatter Plots

Create Scatter Plots: Plot (x, y) points; shows relationships/trends.
Interpret Scatter Plots & Trends: Identify positive, negative, or no correlation. Make predictions by observing patterns.
Write Two-Variable Equations: Find an equation relating x & y.

Correlation Types:
  • Positive: y\) increases as \(x\) increases
  • Negative: y\) decreases as \(x\) increases
  • No correlation: No clear pattern
Equation (for a trend): y=mx+b
Prediction Formula: Estimate future value by extrapolating the line of best fit.

Quick Data Display Comparison (Summary Table)

TypeBest ForKey Feature
Line PlotSmall data setsShows frequency of values
Bar GraphCategorical dataCompares categories
Line GraphTime seriesShows trends
Stem-and-LeafData distributionKeeps all actual values
Frequency TableTally countsSummarizes data
Scatter PlotRelationshipsShows patterns/correlation