gis1e_alq_02_TP5
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Active Learning Lecture Slides For use with Classroom Response Systems
Introductory Statistics: Exploring the World through Data, 1e by Gould and Ryan
Chapter 2: Picturing Variation with Graphs © 2013 Pearson Education, Inc.
Slide 2 - 1
True or False The distribution of a sample of data organizes data by recording all of the values observed and how many times each value is observed. 50% A.
B.
50%
True False
A. © 2013 Pearson Education, Inc.
B.
Slide 2 - 2
True or False In a dotplot each observation is represented by a dot on a number line. 50% A.
B.
50%
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 3
True or False In a histogram bars are drawn to show how many observations lie in each bin. 50% A. B.
50%
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 4
True or False A relative frequency histogram uses relative frequencies as the units on the vertical axis. 50% A. B.
50%
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 5
In a stemplot, A.
Numbers are divided into leaves (the last digit) and stems (the preceding digits).
B.
Stems are written in a vertical column.
C.
Associated leaves are attached to the stems.
D.
All of the above.
25%
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 6
When examining distributions of numerical data, one should pay attention to the 25% A.
Center.
B.
Shape.
C.
Horizontal spread.
D.
All of the above.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 7
A distribution in which the left-hand side of the graph is roughly a mirror image of the right-hand side is called 25% A.
Right-skewed.
B.
Bimodal.
C.
Left-skewed.
D.
Symmetric.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 8
A right-skewed distribution has
A.
a tail that goes to the right. 25%
B.
a tail that goes to the left.
C.
one mode.
D.
a bell-shape.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 9
A distribution that has a tail that goes to the left is called 25% A.
Right-skewed.
B.
Bimodal.
C.
Left-skewed.
D.
Symmetric.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 10
A symmetric distribution that has one mound is often referred to as a 25% A.
Right-skewed distribution.
B.
A bell-shaped distribution.
C.
Left-skewed distribution.
D.
A Bimodal distribution.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 11
A distribution that has one mound is called a 25% A.
Multimodal distribution.
B.
Unimodal distribution.
C.
Left-skewed distribution.
D.
A Bimodal distribution.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 12
A bimodal distribution has 25% A.
One mound.
B.
Two mounds.
C.
More than two mounds.
D.
Is symmetric.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 13
An extremely large or extremely small observation is called 25% A.
A mean.
B.
A mode.
C.
An outlier.
D.
A median.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 14
An outlier A.
is a value so large or small that they it does not fit the data.
B.
has no precise definition.
C.
can be caused by mistakes in data entry.
D.
All of the above.
25%
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 15
True or False Two commonly used graphs to display the distribution of a sample of categorical data are bar charts and pie charts. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 16
True or False Bar charts are the same exact graphs as histograms. 50% A. B.
50%
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 17
Bar charts that are sorted from most frequent to least frequent are called 25% A.
Sorted charts.
B.
Pareto charts.
C.
Histograms.
D.
None of the above.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 18
Pie charts are graphical summaries for categorical data and 25%
A.
Show the proportion of observations that belong to each category.
B.
Each category is represented by a wedge in the pie.
C.
The area of the wedge is proportional to the relative frequency of that category.
D.
All of the above. A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 19
The category that occurs the most often is called the 25% A.
Mean.
B.
Median.
C.
Mode.
D.
Range.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 20
True or False When thinking about the variability of a categorical distribution, it is sometimes useful to think of the word diversity. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 21
True or False If a distribution has a lot of diversity (many observations in many different categories), then variability is low. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 22
True or False If a distribution has only a little diversity (many of the observations fall into the same category), then variability is low. 50% 50% A.
B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 23
True or False When summarizing graphs of categorical data, one should report the mode or modes and describe the variability (diversity). 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 24
True or False In terms of misleading graphs, the most common “trick”—one that is particularly effective with bar charts—is to change the scale of the vertical axis so that it does not 50% 50% start at the origin (0). A. B.
True False
A. © 2013 Pearson Education, Inc.
B.
Slide 2 - 25
True or False Most of the misleading graphics you will run across exploit a similar theme: Our eye tends to compare the relative sizes of objects; that is, their area, not just their height. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B.
Slide 2 - 26
True or False Bar charts are the same exact graphs as histograms. 50% A. B.
50%
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 27
Bar charts that are sorted from most frequent to least frequent are called 25% A.
Sorted charts.
B.
Pareto charts.
C.
Histograms.
D.
None of the above.
A. © 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D. Slide 2 - 28
Pie charts are graphical summaries for categorical data and A.
25% Show the proportion of observations that belong to each category.
B.
Each category is represented by a wedge in the pie.
C.
The area of the wedge is proportional to the relative frequency of that category.
D.
All of the above.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 2 - 29
True or False When thinking about the variability of a categorical distribution, it is sometimes useful to think of the word diversity. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 30
True or False If a distribution has a lot of diversity (many observations in many different categories), then variability is low. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 31
True or False If a distribution has only a little diversity (many of the observations fall into the same category), then variability is low. 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B. Slide 2 - 32
True or False When summarizing graphs of categorical data, one should report the mode or modes and describe the variability (diversity). 50% A. B.
50%
True False
A.
© 2013 Pearson Education, Inc.
B.
Slide 2 - 33
True or False In terms of misleading graphs, the most common “trick”—one that is particularly effective with bar charts—is to change the scale of the vertical axis so that it does not start at the origin (0). 50% 50% A. B.
True False
A. © 2013 Pearson Education, Inc.
B.
Slide 2 - 34
True or False Most of the misleading graphics you will run across exploit a similar theme: Our eye tends to compare the relative sizes of objects; that is, their area, not just their height. 50% A. B.
50%
True False
A. © 2013 Pearson Education, Inc.
B.
Slide 2 - 35
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