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In this video we will discuss how to calculate uncertainties for your dependent variable.

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We will talk about absolute uncertainties and percentage or fractional uncertainties.

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This part of your IA is evaluated under the analysis criterion.

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Let's see in the example IA how to work with absolute uncertainties.

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We will calculate the absolute uncertainty for these values from the raw data table.

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First, I briefly explain what I will do and then I show an example calculation.

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As you can see, I take the largest and the smallest value from the five trials,

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finite difference and divide the result by two.

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Make sure that you round your final answer to the same number of decimal places as you used

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in your calculation. Carry out these calculations for all of these columns,

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but do not show these calculations in your IA, only include the final result in your process

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data table. This is how absolute uncertainties should look like in the process data table.

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The symbol is in italics, the unit is not. Next, let's calculate the percentage uncertainty.

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Another name for percentage uncertainty is fractional uncertainty.

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First, I briefly explain what I will do. These two values come from the process data table.

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You can see them here. I divide the absolute uncertainty by the frequency value

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multiplied by 100% and get 0.03%. Since 0.4 is the one significant figure,

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I round my percentage uncertainty also to one significant figure.

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I carry out this calculation for all of these values, but I do not show these calculations

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in my IA. I just include the results here. This completes step five action two.

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Now you know how to calculate uncertainties for your dependent variable.

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In the next video, we will discuss how to plot your data on a graph.