Chapter 2: Frequency Distributions

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33 Terms

1
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  • A frequency distribution:

    • Shows the _____ of individuals located in each category on the scale of measurement

Shows the # of individuals located in each category on the scale of measurement

2
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  • A frequency distribution:

    • Can be either a ____ or a _____

  • table or a graph

3
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  • Structure of a frequency distribution table:

    • Frequency count (___) next to category (___ values)

  • (f)

  • X

4
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  • Structure of a frequency distribution table:

    • Σ__ = N

  • f

5
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  • Proportions:

    • Measures the _______ of the total group that is associated with each score

  • fraction

6
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  • Proportions:

    • p =

f / N

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  • Proportions:

    • Called ______ _________because they describe the frequency (f) in relation to the total number (N)

  • relative frequencies

8
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  • Percentages:

Expresses relative frequency out of 100

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  • Percentages:

    • equation-

p(100) = f / N (100)

10
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<p>Use the frequency distribution table to determine how many participants were in the study.</p>

Use the frequency distribution table to determine how many participants were in the study.

10

11
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<p>True or False:</p><ul><li><p>More than 50% of the individuals scored above 3.</p></li></ul><p></p>

True or False:

  • More than 50% of the individuals scored above 3.

True

12
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<p>True or False:</p><ul><li><p>The proportion of scores in the lowest category was p = 3.</p></li></ul><p></p>

True or False:

  • The proportion of scores in the lowest category was p = 3.

False

13
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  • Frequency Distribution Tables:

    • What should you do if the number of categories is too large?

Group the categories into intervals. 

AKA a Grouped Frequency Distribution Table

14
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  • Frequency Distribution Tables:

    • What info is lost when categories are grouped

  • Individual scores cannot be retrieved

  • The wider the grouping interval, the more information is lost

15
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  • Frequency Distribution Tables:

    • Guidelines:

  • Ten or fewer class intervals is typical (but use good judgment for the specific situation)

  • The width of each interval should be a relatively simple number (e.g., 2, 5,10, or 20)

  • All intervals should be the same width (other than for an open category)

16
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  • True or False:

    • You can determine how many individuals had each score from a frequency distribution table.

True

17
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  • True or False:

    • You can determine how many individuals had each score from a grouped frequency distribution.

False

18
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  • Graphs

    • The bar for continuous variables- the ____ of the bar extends to the real limits of the category (remember rounding)

  • width

19
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Explain a “block” Histogram

Each block represents one person

20
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What graph to use for nominal and ordinal data (non-numerical scores)?

A bar graph

21
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  • Bar graphs for Nominal and ordinal data (non-numerical scores)

    • In a regular bar graph is the area of the bars meaningful?

No! Only the height is meaningful

22
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  • Bar graphs for Nominal and ordinal data (non-numerical scores)

    • What do spaces between bars represent?

Spaces between bars indicate discrete categories

23
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  • Bar graphs for Nominal and ordinal data (non-numerical scores)

    • Bar graphs without a particular order would be for ______ data

  • Nominal

24
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  • Bar graphs for Nominal and Ordinal data (non-numerical scores)

    • Bar graphs without measurable width would be for ______ data

  • Nominal and Ordinal data

25
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  • Graphs for Population Distributions

    • Describe a Normal Distribution:

Symmetric with greatest frequency in the middle

Common data structure for many variables

26
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<p>What does this show?</p>

What does this show?

The population distribution of IQ scores: an example of a Normal Distribution

27
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  • Shape of a Frequency Distribution

    • Symmetrical distribution:

Each side is a mirror image of the other

28
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  • Shape of a Frequency Distribution

    • Skewed distribution:

scores pile up on one side and taper off in a tail on the other

29
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  • Shape of a Frequency Distribution

    • Skewed distribution:

      • Tail on the right (___ scores) = ____ skew

      • Tail on the left (____ scores) = _____skew

  • (high) = positive

  • (low) = negative

30
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<p>Label the graphs</p>

Label the graphs

knowt flashcard image
31
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<p>What is the shape of this distribution?</p>

What is the shape of this distribution?

positively skewed

32
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  • True or False:

    • It would be correct to use a histogram to graph parental marital status data (single, married, divorced...) from a treatment center for children

  • False

    • Histogram = continuous data only. Marital status is categorical (nominal), so you’d use a bar chart, not a histogram.

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  • True or False:

    • It would be correct to use a histogram to graph the time children spent playing with other children from data collected in a children’s treatment center.

  • True

    • Time is continuous/quantitative → a histogram is the correct choice.