2014 Chapter 2 Flashcards

1
Q

Bar Graph (bar chart)

A

used to represent the frequencies or relative frequencies for categorical data. It is constructed as follow: (1) On the horizontal axis, provide a label for each category, (2) draw rectangles (bars) of equal width for each category. The height of each rectangle represents the frequency or relative frequency for that category. Ensure that the bars do not touch each other

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2
Q

Frequency (count)

A

The number of observations in each category.

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3
Q

Frequency distribution (for a qualitative variable)

A

A listing of all values that the variable can take and the frequencies for each value.

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4
Q

Pareto chart

A

A bar graph in which the rectangles are presented in decreasing order from left to right

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5
Q

Pie chart

A

Used for categorical data, a pie chart is a circle, divided into sections ( that is, slices or wedges), with each section representing a particular category. The size of the section is proportional to the relative frequency of the category.

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6
Q

Relative frequency (for a qualitative variable)

A

The frequency of a class or category, divided by the sample size.

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7
Q

Relative frequency distribution (for a qualitative variable)

A

A listing of all values that the variable can take and the relative frequencies for each value.

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8
Q

Class

A

A range of data values used to group the elements in a data set.

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9
Q

Class limit (lower)

A

The smallest value within that class.

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10
Q

Class limit (upper)

A

The largest value within that class.

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11
Q

Class midpoint

A

Average of two consecutive lower class limits.

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12
Q

Class width

A

The difference between the lower class limits of two successive classes.

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13
Q

Dotplot

A

A simple graph in which each data point is represented by a dot above the number line. When the sample size is large, each dot may represent more than one data point.

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14
Q

Frequency distribution (for quantitative data)

A

A listing of the frequencies for a set of classes for a quantitative variable. Constructed as follows: (1) determine how many classes you will use, (2) determine the class widths, and (3) determine the upper and lower class limits, so that all classes are non-overlapping.

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15
Q

Frequency polygon

A

Constructed as follows: (1) for each class, plot a point at the midpoint, at a height equal to the frequency for that class, and (2) join each consecutive pair of points with a line segment.

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16
Q

Histogram

A

Constructed using rectangles for each class of data. The heights of the rectangles represent the frequencies or relative frequencies of the class. The widths of the rectangles are all the same and correspond to the class width of the corresponding frequency distribution. The lower class limits are placed on the horizontal axis(along with the upper class limit of the rightmost class), so that the rectangles are touching each other.

17
Q

Relative frequency distribution (quantitative data)

A

Similar to a frequency distribution except that the relative frequencies instead of the frequencies are provided.

18
Q

Skewed distribution

A

A right-skewed distribution has a longer tail on the right side than on the left. a left side skewed distribution ahs a longer tail on the left.

19
Q

Stem-and-leaf display

A

A graphical display for numerical data. The stem unit is ten times the leaf unit, whose value is defined in the display. For each stem, the leaf units are arranged in increasing order.

20
Q

Symmetric

A

An image is symmetric if there is a line (axis of symmetry) that splits the image in half so that one side is the mirror image of the other.

21
Q

Cumulative frequency distribution

A

For a discrete variable, shows the total number of observations less than or equal to the category value. For a continuous variable , shows the total number of observations less than or equal to the upper class limit.

22
Q

Cumulative relative frequency distribution

A

For a discrete variable, shows the proportion of observations less than or equal to the category value. For a continuous variable, shows the proportion of observations less than or equal to the upper class limit.

23
Q

Ogive (pronounce “oh jive”)

A

The graphical equivalent of a cumulative frequency distribution or a cumulative relative frequency distribution. Like a frequency polygon, and ogive consists of a set of plotted points connected by line segments. The x coordinates of these points are the upper class limits; the y coordinates are the cumulative frequencies or cumulative relative frequencies

24
Q

Time series plot (time series graph)

A

A graph of time series date. The horizontal axis represents time (for example, hours, days, months, years). The values of the time series data are plotted on the vertical axis, and line segments are drawn to connect the points

25
Q

stemplot

A

give a quick picture of the shape of a distribution, while including the actual values.

26
Q

cluster

A

one or more groups of observations in a stemplot

27
Q

histogram

A

a graph of a frequency distribution in which rectangles with bases on the horizontal axis are given widths equal to the class intervals and heights equal to the corresponding frequencies.

28
Q

frequency

A

the number of individuals in each class

29
Q

class

A

a range of possible individual values, created to group frequencies in a distribution or histogram.

30
Q

frequency table

A

a list of all classes and observations of a given sample

31
Q

modes

A

the most common frequencies in a distribution, identified by a peak in the display of a frequency distribution

32
Q

unimodal

A

a distribution with only one major peak

33
Q

symmetric

A

the values in a distribution smaller and larger than the mode are mirror images

34
Q

right skewed

A

distributions with more values greater than the mode than less then (right -tailed)

35
Q

left skewed

A

distributions with more values less than the mode than greater than (left-tailed)

36
Q

outlier

A

an individual value that falls outside the overall pattern

37
Q

relative frequency

A

gives the ratio of the frequency of a given individual or class to the total sample size