predict the probability of the occurrence of a single event‚ of two independent events and of certain traits in offspring of parents exhibiting traits. Gregor Mendel was an Austrian monk in 1866‚ who studied how traits were passed using pea plants. From his studies of inheritance‚ he created three laws of inheritance: the law of dominance‚ the law of segregation‚ and the law of independent assortment. He called genes ‘’factors’’ and believed the controlled every trait. The law of dominance states that the
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confidence interval is 1.645. The SD standard deviation is 2500-600=1900 1900/4 N=[1.645*(1900/4)/100]^2=62 A sample of 62 is needed. Your sample data has mean 3.1948 and standard deviation 0.0889‚ with a sample size of 25. X (bar) = 3.948‚ s =0.0889‚ n = 25 Use a one-sample t-test Conditions/assumptions for a t-test •Random sample- our survey was a random sample of 25 stations •Normal distribution –we are assuming gasoline prices are normally distributed Null hypothesis: The
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The Poisson probability distribution‚ named after the French mathematician Siméon-Denis. Poisson is another important probability distribution of a discrete random variable that has a large number of applications. Suppose a washing machine in a Laundromat breaks down an average of three times a month. We may want to find the probability of exactly two breakdowns during the next month. This is an example of a Poisson probability distribution problem. Each breakdown is called an occurrence in Poisson
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Hire cheaply but effectively. If you cannot afford to hire full-time employees‚ you can do two things: hire commission-only sales reps and/or hire interns. With commission-only sales reps‚ you only need to pay them what they earn. Interns from colleges and universities often work for free or next-to-nothing‚ and get college credit in return. The drawback‚ though‚ is their short-term availability‚ mostly during summer and spring breaks only. Or you can hire dedicated people who are willing to work
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[pic] TITILE : THEORY OF PROBABILITY NAME : KYRIOS JOYCE ERDAYA RAJOO IC NO : 930603-10-5700 CLASS : 5 MULIA TEACHER : MRS.MALLIKA a) History of Probability The scientific study of probability is a modern development. Gambling shows that there has been an interest in quantifying the ideas of probability for millennia‚ but exact mathematical
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classical and empirical probabilities. a. Classical probabilities are based on assumptions; Empirical probabilities are based on observations. b. Classical probabilities do not require an action to take place; Empirical probabilities have to have been “performed”. 2) Gather 16 to 30 coins. Shake and empty bag of coins 10 times and tally up how many head and tails are showing. Number of coins: 20 * Consider the first toss‚ what is the observed probability of tossing a head? Of
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Probability Concepts 1. Fundamental Concepts of Probability 2. Mutually Exclusive and Collectively Exhaustive 3. Statistically Independent and Dependent Events 4. Bayes’Theorem Learning Objectives • Understand the basic foundations of probability analysis • Learn the probability rules for conditional probability and joint probability • Use Bayes’ theorem to establish posterior probabilities Reference: Text Chapter 2 Introduction • Life is uncertain; we are note sure what the
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companies and the probability of getting a job offer there. These data are tabulated below. The tabulation is in the decreasing order of cost. 1. If the graduate applies to all 10 companies‚ what is the probability that she will get at least one offer? 2. If she can apply to only one company‚ base on cost and success probability criteria alone‚ should she apply to company 5? Why or why not? 3. If she applies to companies 2‚5‚8‚ and 9‚ what is the total cost? What is the probability that she will
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Racism still a problem in the United States PHI03 Racism has been in the United States for years. There has been multiple Amendments and Bills passed to minimize the effects of racism‚ with a goal to stop racism altogether. The problem is that there are still families that practice racism and not only voice it themselves‚ but also teach other’s that they need to be racist too. The problem is that it is going to be very hard to clear up all of the racism in the United States‚ but the best we can
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PART 1 Case 23‚ p.121 The parties involved are Claude and roommate that’s a drug dealer. The moral issue is how Claude is a drug user who uses with no one knowing‚ but doesn’t like that his roommate sells it. In this case we can see how Claude ethical reasoning played a role in his immoral action. Claude did not want to get caught doing something wrong based on the action of his roommate. He felt that his roommate was more ethically incorrect because he was actually selling it. He knew he was
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