Finite Mathematics (11th Edition)
Finite Mathematics (11th Edition)
11th Edition
ISBN: 9780321979438
Author: Margaret L. Lial, Raymond N. Greenwell, Nathan P. Ritchey
Publisher: PEARSON
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Chapter B, Problem 31E
To determine

To write: The given expression in simpler logarithmic expression as a sum, difference, or product.

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1. Differentiate between discrete and continuous random variables, providing examples for each type. 2. Consider a discrete random variable representing the number of patients visiting a clinic each day. The probabilities for the number of visits are as follows: 0 visits: P(0) = 0.2 1 visit: P(1) = 0.3 2 visits: P(2) = 0.5 Using this information, calculate the expected value (mean) of the number of patient visits per day. Show all your workings clearly. Rubric to follow Definition of Random variables ( clearly and accurately differentiate between discrete and continuous random variables with appropriate examples for each) Identification of discrete random variable (correctly identifies "number of patient visits" as a discrete random variable and explains reasoning clearly.) Calculation of probabilities (uses the probabilities correctly in the calculation, showing all steps clearly and logically) Expected value calculation (calculate the expected value (mean)…
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Calculating probability for the Standard Normal Curve 1. Assume the mean is zero, the standard deviation is one, and it is associated with the distribution of z values. Each problem is worth 2 points, 1 point for drawing out the curve and shading the area requested and 1 point for the answer. a. What is the P(z > 0)? b. What is the P(z < 1.0)? C. What is the P(z <-1.0)?
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