1. Introductory Statistics: Exploring the World through Data, 1e
Active Learning Lecture Slides
For use with Classroom Response Systems
Introductory Statistics:
Exploring the World through Data, 1e
by Gould and Ryan
Chapter 6: Modeling Random Events: RQ10-Sections
© 2013 Pearson Education, Inc.

2. © 2013 Pearson Education, Inc.
A probability distribution, sometimes called a probability distribution function (pdf) tells us
all the possible outcomes of a random experiment
the probability of each outcome
Both A and B above
None of the above
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3. © 2013 Pearson Education, Inc.
True or False Continuous outcomes (or continuous variables) cannot be listed or counted because they occur over a range.
True
False
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4. © 2013 Pearson Education, Inc.
True or False The probabilities for a continuous-valued random experiment are represented as areas under curves, and are called a probability density curves.
True
False
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5. © 2013 Pearson Education, Inc.
True or False One reason the Normal model is the most widely used probability model for continuous numerical variables is that many numerical variables in which researchers have historically been interested have distributions for which the Normal model provides a very close fit.
True
False
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6. © 2013 Pearson Education, Inc.
Which of the following represent a Normal Curve (or Normal Distribution)? A. B. A B C D C. D.
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7. © 2013 Pearson Education, Inc.
In the normal curve, if the standard deviation is large, then the Normal curve is
wide and low
narrow and tall
wide and tall
narrow and low
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8. © 2013 Pearson Education, Inc.
Determine whether the random variable is discrete or continuous. The number of songs on an MP3 player
Continuous
Discrete
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9. Use the graph of the given normal distribution to identify μ and σ62 86 68 74 80 92 98 X
μ = 80 and σ = 36
μ = 80 and σ = 6
μ = 62 and σ = 98
μ = 6 and σ = 80
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10. © 2013 Pearson Education, Inc.
Determine the required value of the missing probability to make the distribution a discrete probability distribution. X
P(X)
0.25 1
0.30 2 ? 3
0.10
0.25
0.65
0.15
0.35
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11. © 2013 Pearson Education, Inc.
All students in a class were asked how many times they had read the city newspaper in the past 5 days. The data is in the chart below. What proportion read the newspaper more than 3 times in the past 5 days?
Times Read
Newspaper
Probability
0.25 1
0.05 2
0.10 3 4
0.15 5
0.35
0.1
0.5
0.6
1.0
None of the above
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