Which of the following are examples of continuous random variables?Select all that apply.The percent change in the price of a share of IBM stock in a monthThe number of claims on a medical insurance policy on a given yearThe speed of a randomly selected car on a highwayThe number of customers that enter a particular store on a randomly selected dayThe time that elapses between two customer service calls

The random variable which takes the continuous values is called the continuous random variable. The…

Answered: Which of the following are examples of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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K The data on the right represent the number of live multiple-delivery births (three or more babies) in a particular year for women 15 to 54 years old. Use the data to complete parts (a) through (d) below. Age 15-19 20-24 25-29 30-34 35-39 40-44 45-54 Number of Multiple Births (a) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother 30 to 39 years old. P(30 to 39)= (Type an integer or decimal rounded to three decimal places as needed.) (b) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother who was not 30 to 39 years old. P(not 30 to 39) = 90 510 1622 2838 1845 373 119
18: Answer
Dimensional characteristics, such as height, are an example of a: a. continuous random variable b. discrete random variable c. categorical random variable d. Any of the above
Lesson 10 Q4 The number of accidents in a week is ___________? A.a continuous random variable. B.a discrete random variable. C.neither continuous nor discrete variable. D.continuous and discrete variables.
View Policies Current Attempt in Progress State whether the process described is a discrete random variable, is a continuous random variable, or is not a random variable. Draw 11 cards from a deck and count the number of spades. O Discrete random variable Not a random variable O Continuous random variable Save for Later Last saved 1 second ago. Saved work will be auto-submitted on the due date. Auto- submission can take up to 10 minutes. Attempts: 0 of 1 used Submit Answer
Raffle sells 3000 tickets at 5$ each 40 prizes value $100, 10 value 500$ one values $7000. If you purchase one ticket what is the net gain and probability distribution?
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Determine whether the random variable X has a binomial distribution. If it does, state the number of trials n. If it does not, explain why not. Cards are randomly drawn without replacement from a standard deck of 52. Let X be the number of cards that must be drawn before a Heart appears. Part 1 of 2 The random variable does not have a binomial distribution. Part: 1 / 2 Part 2 of 2 Choose a statement that explains why X does not have a binomial distribution. The number of trials is not fixed. There are more than two possible outcomes for each trial. The probability of success is not the same for each trial. O The trials are not independent. O X does not represent the number of successes that occur. X 5
APX) 0.24- 0.2- 0.16 0.12- 0.08- 0.04- 0- 10 12 14 16 Write the normal probability for the shaded region of the graph and find its value. Select the correct choice below and fill in the answer box within your choice. (Round to four decimal places as needed.) O A. P(4sxS8) =P(3.5sxs8.5) =| O B. P(4
Identify the proper distribution to use and then use it to find the indicated probability. Note if any of the events could be termed “unusual.” One out of every 100 tax returns that a tax auditor examines requires an audit. Find the probability that the first audit is the 25th tax return the auditor examines. Distribution type: ________________ Probability: ________________
K The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions. Complete parts (a) through (c) below. Click the icon to view the data for fatal crashes in 2016. (a) Among fatal crashes in unknown weather conditions, what is the probability that a randomly selected fatal crash occurs when it is dawn/dusk? The probability that a randomly selected fatal crash in unknown weather conditions occurs when it is dawn/dusk is approximately. (Round to three decimal places as needed.) Data table Weather Daylight Dark, but Lighted 5875 497 51 54 255 Normal Rain Snow/Sleet Other Unknown 14,307 875 219 125 810 (...) Dark 8151 681 156 220 548 Dawn/Dusk Other 1183 87 40 71 65 8 2 9 133 X

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