Introduction to Data Visualization in Psychology Research

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16 Terms

1
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What is the primary purpose of visualizing data?

To understand and communicate the data accurately and effectively.

2
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What type of chart is effective for displaying the relative proportion of categories?

A pie chart.

<p>A pie chart.</p>
3
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What is the formula for calculating the slice size of a category in a pie chart?

Slice size of category A = 360° x relative frequency of category A.

4
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When is a pie chart most effective?

When the number of categories is relatively small.

5
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What type of chart can communicate the relative proportion of categories besides pie charts?

Bar charts.

<p>Bar charts.</p>
6
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What is an outlier in data analysis?

A datapoint that is markedly different from other datapoints.

7
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What does a histogram communicate?

The distribution of frequencies of observations.

<p>The distribution of frequencies of observations.</p>
8
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What is the significance of comparing data across different groups?

It helps in understanding differences and similarities in responses or behaviors.

9
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What does the term 'bin size' refer to in data visualization?

The width of the intervals used to group data points in histograms.

<p>The width of the intervals used to group data points in histograms.</p>
10
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What does cumulative relative frequency compute?

It computes the sum of all the relative frequencies for a given value and less.

11
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How is cumulative relative frequency calculated for a specific value?

By summing the relative frequencies for that value and all values less than it.

12
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What type of relationship is examined between height and artistic scores of figure skaters?

A bivariate relationship.

13
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What should be included in a data display to ensure clarity?

Scales and labels of all axes.

14
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What does the term 'skewed' refer to in data visualization?

It refers to a distribution where one tail is longer or fatter than the other.

15
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What can a line graph depict when comparing multiple sets of data?

It allows for convenient comparisons as long as the display is not too complicated.

16
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What is the importance of including labels and legends in data displays?

They help clarify what the data represents and enhance understanding.

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