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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 7.3 Central Limit Theorem © 2013 Pearson Education, Inc. Slide 7 - 1 Which of the following condition(s) on the sample must be met for applying the Central Limit Theorem for estimating proportions in a population? A. Random and Independent 50% B. Large Sample C. Big Population D. All of the above 50% 0% Response Counter A. © 2013 Pearson Education, Inc. B. 0% C. D. Slide 7 - 2 True or False If you don’t know the value of p, then you can substitute the value of pö to calculate the standard error. 100% A. B. True False 0% Response Counter A. © 2013 Pearson Education, Inc. B. Slide 7 - 3 True or False If you don’t know the value of p, then you can substitute the value of pö to calculate the expected number of successes and failures, when checking that the sample size is large enough. 100% A. B. True False 0% Response Counter A. © 2013 Pearson Education, Inc. B. Slide 7 - 4 The condition that the population must be “big” is satisfied if the population is A. twice the sample size B. five times the sample size C. ten times the sample size D. twenty times the sample size 100% 0% A. 0% B. 0% C. D. Response Counter © 2013 Pearson Education, Inc. Slide 7 - 5 True or False If the conditions of a survey sample satisfy those required by the ClT, then the probability that a sample proportion will fall within two standard errors of the population value is 67%. 100% A. B. True False 0% Response Counter A. © 2013 Pearson Education, Inc. B. Slide 7 - 6