The following table summarizes the analysis of samples of galvanized steel for coating weight and surface roughness:coating weighthighlowhigh 1119surfaceroughnesslow 8234Round your answers to three decimal places (e.g. 98.765).a) If the coating weight of a sample is high, what is the probability that the surface roughness is high?b) If the surface roughness of a sample is high, what is the probability that the coating weight is high?c) If the surface roughness of a sample is low, what is the probability that the coating weight is low?

Answered: Image /qna-images/answer/be1e9425-7523-42e9-8da3-f68757836905.jpg

Answered: The following table summarizes the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.4450.445 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 1717 4444 Negative test results 3535 1414 The probability that a randomly selected polygraph test subject was not lying is nothing. (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.445 for a negative test result?
Given the following data for an imaginary superhero universe: Flying Telepathy Super Strength Female 24 51 59 Male 100 54 86 Distribution of Super Power by Gender What is the empirical probability that a randomly selected superhero will have telepathy? Answer in decimal form. Round to 3 decimal places as needed
Anyone who has been outdoors on a summer evening has probably heard crickets. Did you know that it is possible to use the cricket as a thermometer? Crickets tend to chirp more frequently as temperatures increase. This phenomenon was studied in detail by George W. Pierce, a physics professor at Harvard. In the following data, x is a random variable representing chirps per second and y is a random variable representing temperature (°F). 21.0 15.1 19.0 17.6 17.5 15.5 14.7 17.1 y 87.8 71.4 94.1 84.7 81.4 75.2 69.7 82.0 15.4 16.2 15.0 17.2 16.0 17.0 14.4 69.4 83.3 79.6 82.6 80.6 83.5 76.3 Find x, and y. Then find the equation of the least-squares line ŷ = a + bx. (Round your answer to four decimal places.) %3D X = y = + %3D Find the value of the coefficient of determination r. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r² to four decimal places. Round your…
the following are observed frequencies for a die, which could possibly be loaded. the die was rolled 150 times. the expected frequency is the same for each number. determine the test statistic. Number 1 2 3 4 5 6 Frequency 20 19 21 19 31 40
2.2 handwritten Answer letters f, g and h
18 O 16 O 20 42 QUESTION 9 The service time for customers coming through a checkout counter has mean 50 seconds and standard deviation 6.8 seconds. Find the probability that the average service time for 64 passengers to get service will be between 48.4 and 51.6 seconds. O 0.0301 O 0.1897 0.9699 O 0.9399 QUESTION 10 A research worker wants to determine the average time it takes a mechanic to rotate the tires of a car, and she wants to be able to assert with 95% confidence that the mean of her sample is off by at most 0.3 minutes. If she can presume from past experience that the actual time follows normal distribution with a standard deviation of 1.5 minutes, how large the sample will she have to take? O 96 97 9. Save All Answers Click Save and Submit to save and submit. Click Save All Answers to save all answers. O O O O
Do question 2
Hershey Kiss Weight in Oz. 1 Jason, a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown. Jason uses the production number for each kiss in production to ensure that all of the kisses in production have an equal chance of being selected in his random number generator. .1618 .1607 .1613 A: Calculate a point estimate, x, for the population mean, u. .1607 .1610 1611 1609 .1597 .1586 .1604 B: Construct and interpret a 95% CI (Confidence Interval) for u. .1607 (Hint: Use s from your calculator's descriptive statistics.) .1606 1611 .1620 .1610 .1609 C: Construct and interpret a 99% CI (Confidence Interval) for µ.
MN.27.
Coal is carried from a mine in west virginia to a power plant in new york in hopper cars on a long train. The automatic hopper car loader is set to put 77 tons of coal into each car. The actual weights of coal loaded into each care are normally distributed with mean u= 77 tons and standard deviation 0= 1.1 ton. A. What is the probability that one car chosen at random will have less than 76.5 tons of coal? ( Round your answer to four decimal places.) B. What is the probability that 29 cars chosen at random will have a mean load weight x of less than 76.5 tons of coal? ( Round your answer to four decimal places) C. Suppose the weight of coal in one car was less than 76.5 tons. Would that fact make you suspect that the loader had slipped out of adjustment. Suppose the weight of coal in 29 cars selected at random had an average x of less than 76.5 tons. Would that fact make you suspect that the loader had slipped out of adjustment? Why?
Indrilling a vertical wellbore, the spacing between major fractures are recorded. It has been found that this spacing is having a mean of 180o ft and a variance of 3,240,000 ft In the first 2000 ft drilling, there was no present of major fracture in the well. Determine the probability that there is a major fracture at the depth of 2000-3500 ft. Select one: a.0.57 b.o.43 C. O.19 do 82
25)

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