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 6.1-6.2 © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 2013 Pearson Education, Inc. Which of the following represent a Normal Curve (or Normal Distribution)? A. B. A B C D C. D. Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 2013 Pearson Education, Inc. Determine whether the random variable is discrete or continuous. The number of songs on an MP3 player Continuous Discrete Response Counter © 2013 Pearson Education, Inc.

Use the graph of the given normal distribution to identify μ and σ 62 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 Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.

© 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 Response Counter © 2013 Pearson Education, Inc.