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© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.

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Presentation on theme: "© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through."— Presentation transcript:

1 © 2013 Pearson Education, Inc. 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: Redaing Quiz 12- Sections 6.2-6.3 Slide 6 - 1

2 In the normal curve, if the standard deviation is small, then the Normal curve is A. wide and low B. narrow and low C. wide and tall D. narrow and tall Slide 6 - 2 © 2013 Pearson Education, Inc. Response Counter

3 When you are finding probabilities with Normal models, the first and most helpful step is to A. sketch the curve B. label it appropriately C. shade in the region of interest D. All of the above in that order Slide 6 - 3 © 2013 Pearson Education, Inc. Response Counter

4 True or False The standard Normal model is an important concept, because it allows us to find probabilities for any Normal model. A. True B. False Slide 6 - 4 © 2013 Pearson Education, Inc. Response Counter

5 To convert a value to its z-score, A. Subtract the standard deviation, then divide by the mean. B. Add the mean, then divide by the standard deviation. C. Use the formula D. None of the above. Slide 6 - 5 © 2013 Pearson Education, Inc. Response Counter

6 To find the measurement from the percentile A. find the z-score from the percentile, then convert the percentile to proper units. B. find the z-score from the percentile, then convert the z-score to proper units. C. convert the z-score to proper units, then convert the percentile to a z-score. D. None of the above. Slide 6 - 6 © 2013 Pearson Education, Inc. Response Counter

7 Use the graph of the given normal distribution to identify μ and σ A. μ = 80 and σ = 36 B. μ = 80 and σ = 6 C. μ = 62 and σ = 98 D. μ = 6 and σ = 80 Slide 6 - 7 © 2013 Pearson Education, Inc. 62 86 6874 809298 X Response Counter

8 Which of the following is NOT a condition of the binomial distribution? A. a)The trials are dependent. B. b) There are a set number of trials, n. C. c) The probability of success is constant from trial to trial. D. d) There are two possible outcomes. Slide 6 - 8 © 2013 Pearson Education, Inc. Response Counter

9 True or False Binomial distributions are symmetric when p = 0.5, but they are also symmetric when n is large, even if p is close to 0 or 1. A. True B. False Slide 6 - 9 © 2013 Pearson Education, Inc. Response Counter

10 True or False For a binomial experiment the mean is sometimes called the expected value because if you were to carry out a binomial experiment you would expect about µ successes. A. True B. False Slide 6 - 10 © 2013 Pearson Education, Inc. Response Counter

11 BONUS: Which of the following is a binomial experiment? A. Record the number of different eye colors in a group of 50 randomly selected people. B. A married couple decides to have children until a girl is born, but to stop at five children if they do not have any girls. How many children will the couple have? C. A student guesses on every question of a test that has 10 multiple-choice questions. Record the number of questions the student gets right. D. None of the above. Slide 6 - 11 © 2013 Pearson Education, Inc. Response Counter


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