Graphing and Data Tables

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What is the independent variable in an experiment?

Back

The independent variable is the factor that is changed or controlled in a scientific experiment to test its effects on the dependent variable. For example, in a study measuring the growth of bacteria over time, the independent variable could be 'Hours'.

Front

What is a dependent variable?

Back

The dependent variable is the factor that is measured or observed in an experiment. It is affected by changes in the independent variable. For example, in a study measuring the growth of bacteria, the dependent variable could be 'Number of Reproducing E. Coli Bacteria'.

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How do you read a data table?

Back

To read a data table, identify the headings for each column and row, then locate the intersection of the relevant row and column to find the data point.

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What does a bar graph represent?

Back

A bar graph represents data with rectangular bars, where the length of each bar is proportional to the value it represents. It is used to compare different categories.

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What is the purpose of a line graph?

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A line graph is used to show trends over time. It connects individual data points with a line, making it easy to see increases or decreases.

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How do you calculate the difference between two values in a data table?

Back

To calculate the difference, subtract the smaller value from the larger value. For example, if 6 voters prefer Cornflakes and 5 prefer Kix, the difference is 6 - 5 = 1.

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What is a pie chart used for?

Back

A pie chart is used to represent data as parts of a whole. Each slice of the pie shows the proportion of each category relative to the total.

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What does 'IV' stand for in an experiment?

Back

'IV' stands for Independent Variable, which is the variable that is manipulated to observe its effect on the dependent variable.

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What is a data set?

Back

A data set is a collection of related data points or values that can be analyzed to find patterns or trends.

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How do you find the total number of responses in a survey?

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To find the total number of responses, add together all the individual responses from each category.