The heat plot is a useful graph for examining little sets the data. It’s especially beneficial as a device for learning straightforward statistical ideas. Yet for bigger data sets, it have the right to be awkward come create, because for every data worth there is a matching dot. That’s a most dots for data sets through hundreds or countless values! you can, however, replace a heat plot with a frequency bar graph.

You are watching: What should relative frequencies add up to

Let’s look in ~ the change from line plot come frequency bar graph.

We start with the line plot we’ve been using. Remember that the number of dots over each value on the horizontal axis synchronizes to the frequency of that data value:

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Now eliminate the dots, and add a vertical range that indicates the frequency of each value on the horizontal scale:

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Problem E1

Complete the table above. Offer decimals to three decimal places and also percentages to the nearest tenth that a percent.

Notice that the family member frequencies expressed as fractions add up to 17/17, which equates to 1. The relative frequencies expressed together decimals additionally sum come 1, and also the relative frequencies expressed together percentages include up to 100%. The complete of the loved one frequencies expressed together decimals, however, might not constantly be specifically 1 as result of round-off error; they will certainly occasionally add to 1.002 or 0.997, because that example, or something an extremely close to 1. Accordingly, the complete percentage may not amount to exactly 100%. Come decrease round-off error, we would have to increase the variety of decimal places used as soon as rounding.

A loved one frequency bar graph looks just like a frequency bar graph except that the units on the upright axis are expressed together percentages. In the raisin example, the elevation of each bar is the relative frequency the the equivalent raisin count, expressed together a percentage: See note 9, below.

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In this video clip segment, meteorologist Kim Martucci demonstrates exactly how she solves the statistical problem of predicting the weather. Clock this segment after you have completed session 2.

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What room Kim Martucci’s tactics for predicting the weather? just how are they similar to your strategies for counting raisins? just how are they different?

You can uncover the an initial part the this segment ~ above the session video clip approximately 23 minutes and 3 seconds after the Annenberg Media logo. The second component of this segment begins approximately 24 minutes and 48 seconds after the Annenberg Media logo.