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
required labels on a graph
* title: what it's about * axes: categories and data boundaries/classes * source: where the data came from
26
time-series graph
used to display a variable whose values change over time
27
cross-sectional graph
graph that displays information gathered at a single point in time
28
pictograph
bar graph that uses pictures of objects instead of bars
29
important aspects of graphs
* appropriateness (type of graph) * scaling * shape * uniform * symmetric * skewed to the right * skewed to the left *
30
uniform graph
the frequency of each class is relatively the same
31
symmetric
the data lie evenly on both sides of the distribution
32
skewed to the right
when the majority of the data fall on the left side of the distribution; the "tail" of the distribution is on the right
33
skewed to the left
when the majority of the data fall on the right side of the distribution; the "tail" is on the left
34
outlier
a data value that falls outside the shape of the distribution