Chapter 2: Graphical Descriptions of Data Flashcards

1
Q

distribution

A

a way to describe the structure of a particular data set or population

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2
Q

frequency distribution

A

a display of the values that occur in a data set and how often each value, or range of values, occurs

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3
Q

frequencies (f)

A

the numbers of data values in the categories of a frequency distribution

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4
Q

class

A

a category of data in a frequency distribution

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5
Q

class width

A

the difference between the lower limits or upper limits of two consecutive classes of a frequency distribution

class width = (highest value - lowest value) ÷ number of classes

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6
Q

lower class limit

A
  • the smallest number that can belong to a particular class
  • same number of decimal places as the largest number of decimal places in the data
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7
Q

upper class limit

A
  • the largest number that can belong to a particular class
  • same number of decimal places as the largest number of decimal places in the data
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8
Q

class boundary

A
  • the value halfway between the upper limit of one class and the lower limit of the next class

class boundary = (Class 1 upper limit + Class 2 lower limit) ÷ 2

  • After finding one class boundary, add or subtract the class width to find the next class boundary. The boundaries of a class are typically given in interval form: lower boundary–upper boundary
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9
Q

midpoint (class mark)

A

(lower limit + upper limit) ÷ 2

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10
Q

relative frequency

A

relative frequency = f ÷ n

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11
Q

sample size

A

n = Σfi

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12
Q

cumulative frequency

A
  • the sum of the frequencies of a given class and all previous classes
  • the cumulative frequency of the last class equals the sample size (Σfi)
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13
Q

pie chart

A
  • shows how large each category is in relation to the whole
  • round each angle measure to the nearest whole degree
  • qualitative data
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14
Q

bar graph

A
  • bars represent the amount of data in each category
  • one axis displays categories, and the other displays frequencies
  • qualitative data
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15
Q

Pareto chart

A
  • bar graph in descending order
  • typically used with nominal data
  • qualitative data
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16
Q

side-by-side bar graph

A
  • a bar graph that compares the same categories for different groups
  • qualitative data
17
Q

stacked bar graph

A
  • bar graph that compares the same categories for different groups and shows category totals
  • qualitative data
18
Q

histogram

A
  • a bar graph of a frequency distribution of quantitative data
  • horizontal axis is a number line
  • quantitative data
19
Q

relative frequency histogram

A
  • a histogram in which the heights of the bars represent the relative frequencies of each class rather than simply the frequencies
  • quantitative data
20
Q

frequency polygon

A
  • visual display of the frequency of each class of quantitative data that uses straight lines to connect points plotted above the class midpoints
  • quantitative data
21
Q

ogive

A
  • shows the cumulative frequency of each class, created by adding a 0 for the first data point and joining the points together with line segments
  • quantitative data
22
Q

stem-and-leaf plot

A
  • retains the original data
  • the leaves are the last significant digit in each data value and the stems are the remaining digits
  • requires a key
  • quantitative data
23
Q

dot plot

A
  • displays the data without grouping; only data that are exactly the same appear together
  • retains the original data by plotting a dot above each data value on a number line
  • quantitative data
24
Q

line graph

A

uses straight lines to connect points plotted at the value of each measurement above the time it was taken

25
Q

required labels on a graph

A
  • title: what it’s about
  • axes: categories and data boundaries/classes
  • source: where the data came from
26
Q

time-series graph

A

used to display a variable whose values change over time

27
Q

cross-sectional graph

A

graph that displays information gathered at a single point in time

28
Q

pictograph

A

bar graph that uses pictures of objects instead of bars

29
Q

important aspects of graphs

A
  • appropriateness (type of graph)
  • scaling
  • shape
    • uniform
    • symmetric
    • skewed to the right
    • skewed to the left
      *
30
Q

uniform graph

A

the frequency of each class is relatively the same

31
Q

symmetric

A

the data lie evenly on both sides of the distribution

32
Q

skewed to the right

A

when the majority of the data fall on the left side of the distribution; the “tail” of the distribution is on the right

33
Q

skewed to the left

A

when the majority of the data fall on the right side of the distribution; the “tail” is on the left

34
Q

outlier

A

a data value that falls outside the shape of the distribution