Chapter 2 Vocabulary Flashcards

1
Q

Raw data

A

Data collected from an observational study, designed experiment, or survey before they
have been summarized.

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2
Q

Frequency distribution

A

A frequency distribution lists each category of data and the number of occurrences for each category of data.

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3
Q

Relative frequency

A

The relative frequency is the proportion (or percent) of observations within a category and is found using the formula

Relative Frequency = frequency/
sum of all frequencies

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4
Q

Relative frequency distribution

A

A relative frequency distribution lists each category of data together with the relative frequency.

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5
Q

Bar graph

A

s constructed by labeling each category of data on either the
horizontal or vertical axis and the frequency or relative frequency of the category on the other axis. Rectangles of
equal width are drawn for each category. The height of each rectangle represents the category’s frequency or relative frequency.

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6
Q

Pareto Chart

A

is a bar graph whose bars are drawn in decreasing order of frequency or relative frequency.

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7
Q

Side‐by‐side bar graph

A

a bar graph used to compare two or more different sets of qualitative data.

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8
Q

Pie chart

A

a circle divided into sectors. Each sector represents a category of data. The area of each sector is proportional to the frequency of the category.

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9
Q

Class

A

Categories of quantitative data. For discrete data with a small number of observations, the data form the categories. For discrete data with a wide range of observations, or continuous data, the categories are formed using non‐overlapping intervals of numbers.

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10
Q

Histogram

A

is constructed by drawing rectangles for each class of data. The height of each rectangle is the frequency or relative frequency of the class. The width of each rectangle is the same and the rectangles touch each other.

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11
Q

Lower and upper class limits

A

is the smallest value within a class. The upper class limit is the largest value within a class.

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12
Q

Class width

A

is the difference between consecutive lower class limits.

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13
Q

Open ended

A
A table is open ended if the first class has no lower class limit or the last class has no
upper class limit.
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14
Q

Stem‐and‐leaf plot

A

A graphical representation of quantitative data in which the data itself is used to create the graph. So the raw data could be retrieved from the graph.

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15
Q

Stem

A

The digits to the left of the rightmost digit in the raw data in a stem‐and‐leaf plot.

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16
Q

leaf

A

The rightmost digit in a stem‐and‐leaf plot.

17
Q

Split stems

A

Dividing a stem into two or more stems. For example, rather than having a stem that represents 10 ‐ 19, we would have the first stem represent 10 ‐ 14, and the second stem represent 15 ‐ 19.

18
Q

Dot plot

A

A dot plot is drawn by placing each observation horizontally in increasing order and placing a dot above the observation each time it is observed.

19
Q

Uniform distribution

A

is a distribution such that the frequency of each value of the variable is evenly spread out across the values of the variable.

20
Q

Bell‐shaped distribution

A

is one in which the highest frequency occurs in the middle and frequencies tail off to the left and right of the middle.

21
Q

Skewed right distribution

A

is one in which the tail to the right of the peak is longer than the tail to the left of the peak.

22
Q

skewed left distribution

A

is one in which the tail to the left of the peak is longer than the tail to the right of the peak.

23
Q

Class midpoint

A

The sum of consecutive lower class limits divided by 2.