In the transmission of digital information, the probability that a bit has high, moderate, and low distortion is 0.01, 0.04, and 0.95,respectively. Suppose that three bits are transmitted and that the amount of distortion of each bit is assumed to be independent.Let X and Y denote the number of bits with high and moderate distortion out of the three, respectively. Determine:(c) E(X)= iRound your answer to two decimal places (e.g. 98.76).

Answered: Image /qna-images/answer/e7ece559-c8f4-49dd-a1fb-ce4a6848a866.jpg

Answered: In the transmission of digital…

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter9: Solving Quadratic Functions

Section: Chapter Questions

Problem 4CA

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Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
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The following depicts the relationship between the number of computer science doctorates awarded in the United States and the total revenue generated by arcades, in billions of U.S. dollars 1.55 1.45 1.35 1.25 1.15 1.05 0.95 0.85 0.75 750 950 1,150 1,350 1,550 1,750 Computer Science Doctorates Awarded n = 10; Ey = 11.76; Ex = 11,951; Ex² = 15,651,971 Ey² = 14.52; Exy = 14,933.55; i = 1,195; y = 1.18; E(x – x)y – y) = 880.34; E(x – x)² = 1,369,331; E(y – y)² = 0.69; Using the above, compute the pearson correlation coefficient, r. Report your answer to 3 digits after the decimal. Answer: Total Revenue Generated by Arcades (in $ Billions)
The risk of a person developing heart disease is correlated with their BMI (or body mass index), which is calculated by dividing their body mass by their height (high BMIS typically mean the person is overweight). Heart disease is also related to a person's level of activity. Suppose a person's BMI is x and their physical activity is y (measured, for example, in minutes of exercise each day). Let h be a heart disease risk index (high values of h mean high risk of heart disease, low values of h mean a low risk of heart disease). h depends on x and y, that is, h3h(x,y). A simple linear model that only takes into account the effects of BMI and activity is (a) Would you expect a > 0 or a < 0? What about b? You would expect a 7o and b 0. (b) To fit the values of a and b, consider the following data. A patient with BMI of 15, and who does 50 min of activity each day, has risk index h = 150. A patient with BMI of 30, and who does 30 min of activity each day, has risk index h = 405. Use these…
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