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I need the following assignments answers.  The assignments and ebook chapters are below.

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Answer the following questions in a Word document: Is the binomial distribution a discrete probability distribution or a continuous probability distribution? Explain. If you are tossing a fair coin 10 times, what is the probability of getting exactly 4 heads out of the 10 coin tosses? If you are tossing a fair coin 10 times, what is the probability of getting exactly 9 heads out of the 10 coin tosses? If you are tossing a fair coin 10 times, what is the probability of getting 4 OR 5 heads out of the 10 coin tosses? The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred, Fnd the probability that the archer hits the target on three shots out of the Fve. The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred, Fnd the probability that the archer doesn’t ever hit the target during the Fve shots. The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred, Fnd the probability that the archer hits the target on all Fve shots.
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Problem Set 1. Consider the experiment of tossing a fair coin four times. The coin has two possible outcomes, heads or tails. a. List the sample space for the outcomes that could happen when tossing the coin four times. For example, if all four coin tosses produced heads, then the outcome would be HHHH. b. If each outcome is equally likely, what is the probability that all four coin tosses result in heads? Notice that the complement of “all four heads” is “at least one tail.” Using this information, compute the probability that there will be at least one tail out of the four coin tosses. 2. Suppose you roll a single fair die and note the number rolled. a. What is the sample space for a single roll of a fair die? Are the outcomes equally likely? b. Assign probabilities to the outcomes in the sample space found in part (a). Do these probabilities add up to 1? Should they add up to 1? Why? c. What is the probability of getting a number less than 4 on a single roll? d. What is the probability of getting a 1 or a 2 on a single roll? 3. Suppose we are interested in studying movie ratings where movies get rated on a ±ve star scale. One star means the critic thought the movie was horrible, and ±ve stars means the critic thought it was one of the best movies of the year. Here is a frequency table for all the movies rated by this critic for the year: a. Using this information, if we chose a movie from this group at random, what is the probability that the movie received a: 1 star rating? 2 star rating? 3 star rating? 4 star rating? 5 star rating? b. Do the probabilities from part (a) add up to 1? Why should they? What is the sample space in this problem? 4. Given P(A) = 0.6 and P(B) = 0.3 a. If A and B are mutually exclusive events, compute P(A or B). b. If P(A and B) = 0.2, compute P(A or B). c. If A and B are independent events, compute P(A and B). d. If P(B|A) = .1, compute P(A and B). 5. Consider the following events for a college professor selected at random: A = the professor has high blood pressure B = the professor is over 50 years old Translate each of the following scenarios into symbols. For example, the probability a professor has high blood pressure would be P(A). a. The probability a professor has low blood pressure. 1 Copyright©2011 Cengage Learning. All Rights Reserved Rating Number of movies that got that rating 1 Star 28 2 Star 123 3 Star 356 4 Star 289 5 Star 56
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Instuctor’s Annotated Edition Understandable Statistics Concepts and Methods Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States Charles Henry Brase Regis University Corrinne Pellillo Brase Arapahoe Community College TENTH EDITION Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.
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Instuctor’s Annotated Edition Understandable Statistics Concepts and Methods Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States Charles Henry Brase Regis University Corrinne Pellillo Brase Arapahoe Community College TENTH EDITION Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.
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Understand the Defnition oF Probability video link Complete the Following in a Word document: Write an original defnition oF probability based on what you have read and what you observed in the video. Write an original defnition oF sample space based on what you have read and what you observed in the video. Write an original defnition oF event based on what you have read and what you have observed in the video. Write an original defnition oF probability distribution based on what you have read and what you observed in the video. Write out the sample space For a single toss oF a Fair coin. Write out the probability oF rolling an odd number iF you are rolling a regular six-sided die. Write out the probability oF rolling a number greater than 4 iF you are rolling a regular six-sided die. Write an event where the probability oF that event is 0 iF you are rolling a regular six-sided die.
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