Need answer asap Let X denote the number of times a certain numerical control machinewill malfunction: 1,2, or 3 times on any given day. Let Y denote the numberof times a technician is called on an emergency call. Their jointdistribution is given as the table below. What is the marginal probabilityfunction of X and Y? Verify if X and Y are independent. *f(x,y)12310.050.050.10Y0.050.150.300.150.152.

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Answered: Let X denote the number of times a…

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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o 5. In October 2012, Apple introduced a much smaller variant of the Apple iPad, known as the iPad Mini. Weighing less than 11 ounces, it was about 50% lighter than the standard iPad. Battery tests for the iPad Mini showed a mean life of 10.25 hours (The Wall Street Journal, October 31, 2012). Assume that battery life of the iPad Mini is uniformly distributed between - 10, 25 8.5 and 12 hours. Give a mathematical expression for the probability density function of battery life. b. What is the probability that the battery life for an iPad Mini will be 10 hours or less? a. с. What is the probability that the battery life for an iPad Mini will be at least 11 hours? d. What is the probability that the battery life for an iPad Mini will be between 9.5 and 11.5 hours? In a shipment of 100 iPad Minis, how many should have a battery life of at least 9 hours? X e. Callu ndina bu
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Is this value from a discrete or continuous data set.The number of classes you are taking this quarter Discrete Continuous
The data below is provided by the local ice-cream shop that keeps track of how many ice-creams aresold versus the temperature on that day. Here are the figures for the last 7 days. Let x; represent thetemperature ofthe respective days and let /; represent the ice cream sales on the respective days'Day I 2 3 4 5 6 7Ice cream Temp oC 14.2 16.4 l l.9 15.2 18.5 22.1 19.4Sales (N$) 215 325 185 332 406 s22 412Required:i. Compute and interpret the sample covarianceii. Compute and interpret the sample correlation coefficient
Latasha samples 5 gyms and counts how many machines each gym has. One gym has 30 machines, one gym has 13 machines, one gym has 30 machines, one gym has 38 machines, and the last gym has 10 machines. What type of data is this? Qualitative Quantitative Discrete Quantitative Continuous
On MS Excel, list down all the numbers from 0 to 100 in one column A. On Column B, compute the probability that X takes on the number on Column A, e.g. if 0 is on cell A1, then P(0) should be on cell B1. Use the BINOMDIST function to make it easy. Just enter the appropriate arguments, for X, n, and p. Enter FALSE for the argument on whether you should get the cumulative distribution (last argument). Create a bar graph with the values in column B. Describe the shape of the graph.
Let mvp, be the marginal value product for worker i, which is the price of a firm's good multiplied by the marginal product of the worker. Assume that log(mvp,) = Bo + Bišn + …· + Bršia + u; max(mvp,minwage,), where the explanatory variables include education, experience, and so on, and minwage; is the mini- mum wage relevant for person i. Write log(wage;) in terms of log(mvp;) and log(minwage;). ... wage, =
3.2 A package delivery service divides their packages into weight classes. Suppose that packages in 14 to 20 pounds class are equally likely to occur. 3.2.1 provide a sketch diagram to summarise the above information. show precisely f(x), the mean value and the bounderies. 3.2.2 find the probability that a package weighs between 15 and 16.5 pounds. 3.2.3 find the probability that a package weighs less than 15 pounds 3.2.4 find the probabilirt that a package weighs at least 18 pounds. 3.2.5 Calculate the variance and standard deviation of the distribution.
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Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 22,17,20,17,17,14,16,21,15,21,15,22 Give the p-value and interpret the results. a) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. b) p = .0562; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. c) p = 0.0003; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. d) p = 0.0003; Based on 5% significance level, I will reject the…
Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 20,17,15,15,22,21,16,16,20,22,15,21 Give the test statistic for this hypothesis test. Choose the correct answer from below options: a) z = 17.92 b) t = −5.17 c) t = 2.90 d) t = 5.17 e) z = −2.90 f) z = 5.17 g) t = −17.92
Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 14,19,16,14,19,19,14,21,17,17,14,17 Give the p-value and interpret the results. a) p = 0.0012; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. b) p = 0.0012; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. c) p = 0.0023; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. d) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and…

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