PSY 1900 Quiz 2

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Last updated 3:07 AM on 9/24/26
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26 Terms

1
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central tendency

  • typical

  • center

  • middle value


2
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mean

  • average, arithmetic mean


<ul><li><p>average, arithmetic mean</p></li></ul><p></p>
3
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x̄ vs. μ

  • x̄ = sample mean

  • μ = population mean


4
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median

  • the middle value


<ul><li><p>the middle value</p></li></ul><p></p>
5
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mode

  • most common value

  • highest frequency


6
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range

difference between the smallest and largest scores

7
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first quartile

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8
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third quartile

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interquartile range

3rd quartile – 1st quartile

10
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outlier threshold

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variance

average amount a score deviates from the average score

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standard deviation

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coefficient of variation

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14
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descriptive statistics of central tendency

mean, median, mode

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descriptive statistics of spread

range, interquartile range, variance, standard deviation, coefficient of variation

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frequency

number of occurrences of a value (or range of values) in a sample

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frequency distribution

frequencies of EACH value (or range of values) in a sample

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relative frequency

proportion of occurrences of a value (or range of values) in a sample

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relative frequency distribution

relative frequency of EACH value (or range) in a sample

20
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graphs for categorical variables

1 variable

  • frequency table

  • pie graphs (relative)

  • bar chart (frequency or relative)


2 variables

  • grouped bar graph

  • mosaic plot


21
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graphs for numerical variables

1 variable

  • frequency table

  • histogram

  • line graph

  • strip chart

  • box plot


2 variables

  • scatter plot

  • line graph

  • map


22
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graphs for numerical & categorical variables (1 each)

  • strip chart

  • box plot

  • multiple histograms


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WARNINGS!

  • FREQUENCY IS NOT A VARIABLE.

  • PARTICIPANTS ARE NOT A VARIABLE.


24
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bar graph vs. histogram

  • bar graph = categorical (gaps)

  • histogram = numerical (no gaps) → use line graph for time


<ul><li><p>bar graph = categorical (gaps)</p></li><li><p>histogram = numerical (no gaps) → use line graph for time</p></li></ul><p></p>
25
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types of distributions

  • normal

  • bimodal

  • skewed (direction based on tail)

  • uniform


26
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describing distributions

  • is there any association? strong or weak?

  • unimodal vs. bimodal

  • skew

  • peaks

  • outliers