Describing Continuous Data

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Appropriate visualisation for the distribution of numeric data, methods to calculate the spread and central tendency for the distribution of numeric data

Last updated 3:22 PM on 7/2/26
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14 Terms

1
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What is used to visualise the distribution of continuous data?

Histogram

  • Properties: 

    • X-axis → values of some variables commonly presented in bins (range of scores) 

    • Y-axis → frequency of a given value/values within bins 

2
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What is the code for histograms?

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3
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How is the arithmetic mean calculated?

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4
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What is the code for calculating the mean?

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5
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What is the sum of deviations?

Adding up the amount by which each observation differs from the mean 

<p><span style="background-color: inherit; line-height: 20.7px; color: windowtext;">Adding up the amount by which each observation differs from the mean</span><span style="line-height: 20.7px; color: windowtext;">&nbsp;</span></p>
6
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What is the code for calculating the sum of deviations?

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7
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What is variance? What is it useful for?

Average squared deviation from the mean → useful to remove the effect of sign (when calculating the sum of deviations)

<p>Average <strong>squared</strong> deviation from the mean → useful to remove the effect of sign (when calculating the sum of deviations)</p>
8
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What is the code for calculating variance?

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9
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What is standard deviation?

Measure of variation in the same units as the mean/variable; square root of the variable

<p>Measure of variation in the same units as the mean/variable; square root of the variable</p>
10
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What is the code for calculating standard deviation?

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11
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What does the measure used for different variable types depend on?

Depends on level of measurement

<p>Depends on level of measurement</p>
12
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What is a skewed distribution and what does it look like?

Measure of asymmetry

<p>Measure of asymmetry</p>
13
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What is kurtosis and what does it look like?

Measure of the flatness of the peak + the fatness of the tails of the distribution

<p>Measure of the flatness of the peak + the fatness of the tails of the distribution</p>
14
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What do skew and kurtosis impact?

The normality of the distribution of the data