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Download Daily Learning Targets Students will. . . 4.1 Probability Distributions
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Probability and Statistics Sloffer – 2015 **ALL ASSIGNMENTS ARE SUBJECT TO CHANGE** Please see teacher prior to going on a field trip or family vacation to verify assignments. You are responsible for all missed work. All work is to be turned in upon return. Make arrangements to take tests and quizzes. Monday, Sept. 28th Tuesday, Sept. 29th Wed., Sept. 23rd / Thursday Sept. 24th Friday, Sept. 25th Test 3 4.1 Probability Distributions Pg. 201 #’s 12-40 Multiples of 4 and 45 and 46 Wed., Sept. 30th / Thursday Oct. 1st Friday, Oct. 2nd 4.2 Binomial Distributions Pg. 215 #’s 2-28 evens 4.1 and 4.2 Review Practice Quiz 4.3 More Probability Distributions Monday, Oct. 5th Tuesday, Oct. 6th Wed., Oct. 7th / Thursday Oct. 8th Chapter 4 Review Chapter 4 Practice Test Chapter 4 Test 5.1 Introduction to Normal Distributions and the Standard Normal Distribution Pg. 248 #’s 8- 40 even and 48-56 even Daily Learning Targets Chapter 4 Syllabus Quiz 4.1 and 4.2 Pg. 226 #’s 1-29 odd Chapter 4 Review Pg. 231 #’s 1-30 (Do not graph 11-14 or 23-26) Friday, Oct. 9th 5.2 Normal Distributions: Finding Probabilities Pg. 256 #’s 2-30 even Students will. . . Distinguish between discrete random variables and continuous random variables. Construct a discrete probability distribution and its graph. 4.1 Determine if a distribution is a probability distribution. Probability Distributions Find the mean, variance, and standard deviation of a discrete probability distribution. Find the expected value of a discrete probability distribution. 4.2 Binomial Distributions 4.3 More Probability Distributions Determine if a probability experiment is a binomial experiment. Find binomial probabilities using the binomial probability formula. Find binomial probabilities using technology, formulas, and a binomial probability table. Graph a binomial distribution. Find the mean, variance, and standard deviation of a binomial probability distribution. Find probabilities using the geometric distribution. Find probabilities using the Poisson distribution.
