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How to display data clearly & effectively

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Presentation on theme: "How to display data clearly & effectively"— Presentation transcript:

1 How to display data clearly & effectively
Organizing Data How to display data clearly & effectively

2 Steps with data. Step 1: Collect Data – Carefully record data during experiment Step 2: Make Data Table – Organize data into an easy to read table Step 3: Create Graph(s)- Use data to create an appropriate graph Step 4: Analyze Data- Interpret the meaning of your data (the changes, comparisons, etc.) and relate to your hypothesis.

3 Parts of a Data Table Your Data Table Must Include:
Title: The title describes the variables and what is being measured. Ex. “The effects of exercise on a person’s energy level.” Variables: Your data table should have at least one independent variable (The variable you manipulate) and at least one dependent variable (Change that you’re measuring). Ex. I.V. = Type of Exercise D.V. = Energy Level Measurable Unit: Use an appropriate and measurable unit to compare the two variables. Ex. Percentage (%), Liters (L), Centimeters (cm) Multiple Trials: Table must show repeated trials and/or measurements (3 or more) for each variable

4 Table Title Dependent Variable (Unit of Measurement)
Independent Variable Column #1 Column #2 Column #3 Row #1 Row #2

5 Steps to making a data table
Draw or create a grid with enough spaces for the data. Write your title at the top of the data table. Label column on the far left with the independent variable (what are you changing) Label the columns to the right with the dependent variables (The results or change you are measuring). Remember to include enough space for multiple data sets. Remember to include a unit for each dependent variable measurement.

6 Use the following info to fill in the data table
Title: Effect of Different Physical Activities on Heart Rate Unit of Measurement: Beats per minute (BPM) Dependent variable: Heart Rate Independent Variable: Type of Activity (running, weightlifting, walking, yoga) Three trials and average for each activity measured in BPM: Running: 162, 168, 174, avg: 168 Weight Lifting: 140, 158, 151, avg: 149 Walking: 110, 115, 108, avg: 111 Yoga: 102, 94, 98, avg: 98

7 Effect of Different Physical Activities on Heart Rate
Effect of Different Physical Activities on Heart Rate   Heat Rate (measured in beats per minute) Type of Activity Trial 1 Trial 2 Trial 3 Average Running 162bpm 168bpm 174bpm Weight Lifting 140bpm 158bpm 151bpm 149bpm Walking 110bpm 115bpm 108bpm 111bpm Yoga 102bpm 94bpm 98bpm


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