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the probability of obtaining a certain number x when you toss a fair die is given by the probability distribution table below. For a discrete probability distribution, the set of ordered pairs (x,f (x)), where x is each outcome in a given sample space and f (x) is its probability, must follow the following: P (X = x) = f (x) f (x) ≥ 0 ∑ x f (x) = 1
ad). The graphs of p c (x) as a function of x for r = 0.133, l =... Download Scientific Diagram
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Exercise 5.3.1 5.3. 1. The data that follow are the number of passengers on 35 different charter fishing boats. The sample mean = 7.9 and the sample standard deviation = 4.33. The data follow a uniform distribution where all values between and including zero and 14 are equally likely. State the values of a and b b.
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ad). The graphs of p c (x) as a function of x for r = 0.133, l =... Download Scientific Diagram
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P(c < x < d) is the same as P(c ≤ x ≤ d) because probability is equal to area. We will find the area that represents probability by using geometry, formulas, technology, or probability tables. In general, calculus is needed to find the area under the curve for many probability density functions. When we use formulas to find the area in this.
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P(x) is a profit function. P(x) = R(x) - C(x) x = the number of items produced and sold . Data: A company receives $45 for each unit of output sold. It has a variable cost of $25 per item and a fixed cost of $1600. What is its profit if it sells (a) 75 items, (b)150 items, and (c) 200 items?
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It is computed using the formula μ = ∑ xP(x) μ = ∑ x P ( x). The variance σ2 σ 2 and standard deviation σ σ of a discrete random variable X X are numbers that indicate the variability of X X over numerous trials of the experiment. They may be computed using the formula σ2 = [∑x2P(x)] −μ2 σ 2 = [ ∑ x 2 P ( x)] − μ 2.
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We say that a continuous random variable X X is associated with a given probability density curve f(x) f ( x) if the probability that X X is between a a and b b, i.e. P(a < X < b) P ( a < X < b), is equal to the area under the f(x) f ( x) between a a and b b for any a a and b b . Figure 6.2.2 6.2. 2: An example of a probability density function.
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