Owner-Occupied Household SizeThe table below gives the probability function for the random variable giving the household size for an owner-occupied housing unit inthe US.1Household size in owner-occupied units237p(x) 0.216 0.363 0.165 0.145 0.067 0.026 0.0181www.census.gov.(a) What is the probability that a unit has only four or five people in it?Enter the exact answer.P(4 or 5 people) =ieTextbook and Media(b) What is the probability that a unit has five or more people in it?Enter the exact answer.P(5 or more people) =ieTextbook and Media(c) What is the probability that more than one person lives in a US owner-occupied housing unit?Enter the exact answer.P(more than one person) =ieTextbook and Media

Answered: Image /qna-images/answer/32f35426-afab-4664-ac1c-bb25c015e68c.jpg

Answered: Owner-Occupied Household Size The table…

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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Billy’s Bakery bakes fresh bagels each morning. The daily demand for bagels is a random variable with a distribution estimated from prior experience given by Number of bagels sold in one day Probability 0 0.05 5 0.10 10 0.10 15 0.20 20 0.25 25 0.15 30 0.10 35 0.05 The bagels cost Billy’s 8 cents to make, and they are sold for 35 cents each. Bagels unsold at the end of the day are purchased by a nearby charity soup kitchen for 3 cents each. MSCI 432 Fall 201 5 2 a) Based on the given discrete distribution, how many bagels should Billy’s bake at the start of each day? (Your answer should b e a multiple of 5.) b) If you were to approximate the discrete distribution with a normal distribution, would you expect the resulting solution to be close to the answer that you obtained in part (a)? Why or why not?
Oxygen demand is a term biologists use to describe the oxygen needed by fish and other aquatic organisms for survival. The Environmental Protection Agency conducted a study of a wetland area. In this wetland environment, the mean oxygen demand was μ = 9.9 mg/L with 95% of the data ranging from 7.3 mg/L to 12.5 mg/L. Let x be a random variable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. (a) Use the 95% data range to estimate the standard deviation for oxygen demand.
Oxygen demand is a term biologists use to describe the oxygen needed by fish and other aquatic organisms for survival. The Environmental Protection Agency conducted a study of a wetland area. In this wetland environment, the mean oxygen demand was u = 9.3 mg/L with 95% of the data ranging from 6.7 mg/L to 11.9 mg/L. Let x be a random variable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. In USE SALT (a) Use the 95% data range to estimate the standard deviation for oxygen demand. (b) An oxygen demand below 8 indicates that some organisms in the wetland environment may be dying. What is the probability that the oxygen demand will fall below mg/L? (Round your answer to four decimal places.) (c) A high oxygen demand can also indicate trouble. An oxygen demand above 12 may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed…
Compute the variance of the probability distribution in the table below. Outcome Probability 73 0.5 74 0.2 0.1 0.2 75 76 Find the variance. 02= (Type an integer or a decimal.)
Let X = {Email, In Person, Instant Message, Text Message}; P(Email) = 0.06 P(In Person) = 0.55 P(Instant Message) = 0.24 P(Text Message) = 0.15 Is this model a probability distribution? A. Yes. B. No. C. Maybe.
Male Female O The data represent the number of driving fatalities for a certain area by age for male and female drivers. under 16 16-20 21-34 151 126 6719 2411 12,497 4855 35-54 12,432 4589 55-69 4773 1821 70 and over 2971 1256 (a) What is the probability that a randomly selected driver fatality who was female was 21 to 34 years old? The probability that a randomly selected driver fatality who was female was 21 to 34 years old is approximately (Round to three decimal places as needed.) (b) That is the probability that a randomly selected driver fatality who was 21 to 34 was female? The probability that a randomly selected driver fatality who was 21 to 34 was female is approximately. (Round to three decimal places as needed.) Enter your answer in each of the answer boxes. Show Work DII DD 80 p00 000 F9 F10 F11 F12 F6 F7 esc F5 E4 F2 F3 & ! @ %23 $ 2 3 4 5 7 8 9 delete 1 { } Q W E R Y P tab K A S D caps lock I
A sociologist surveyed the households in a neighboring town and recorded the number of dependent children in the household. The following probability distribution was created based on the survey. Use the probability distribution to answer the following questions x 0 1 2 3 4 P(x) 0.07 0.20 0.38 0.22 0.13 True or false. The expected number of dependent children in the household must be a whole number because it represents what we expected to get in every household
Company F sells fabrics known as fat quarters, which are rectangles of fabric created by cutting a yard of fabric into four pieces. Occasionally the manufacturing process results in a fabric defect. Let the random variable X represent the number of defects on a fat quarter created by Company F. The following table shows the probability distribution of X. X 0 1 2 3 4 or more Probability 0.58 0.23 0.11 0.05 0.03 If a fat quarter has more than 2 defects, it cannot be sold and is discarded. Let the random variable Y represent the number of defects on a fat quarter that can be sold by Company F. (a) Construct the probability distribution of the random variable Y. (b) Determine the mean and standard deviation of Y. Show your work. Company G also sells fat quarters. The mean and standard deviation of the number of defects on a fat quarter that can be sold by Company G are 0.40 and 0.66, respectively. The fat quarters sell for $5.00 each, but are discounted by…
Quesiton 45
Oxygen demand is a term biologists use to describe the oxygen needed by fish and other aquatic organisms for survival. The Environmental Protection Agency conducted a study of a wetland area. In this wetland environment, the mean oxygen demand was μ = 9.2 mg/L with 95% of the data ranging from 5.4 mg/L to 13.0 mg/L. Let x be a random variable that represents oxygen demand in this wetland environment. Assume xhas a probability distribution that is approximately normal. (a) Use the 95% data range to estimate the standard deviation for oxygen demand. (b) An oxygen demand below 8 indicates that some organisms in the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L?(Round your answer to four decimal places.) (c) A high oxygen demand can also indicate trouble. An oxygen demand above 12 may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12…
What is the significance of the mean of a probability distribution? Choose the correct answer below. OA. It gives information about how the outcomes vary. OB. It is the expected value of a discrete random variable. OC. It can never be negative. OD. It represents the most likely possible outcome. C
A variable y of a finite population has the frequency distribution shown in the table. Suppose a member is selected at random from the population and let Y denote the value of the variable y for the member obtained. Complete parts (a) through (d) below. y 3 4 6. f 1 1 11 7 a. Determine the probability distribution of the random variable Y. 3 y P(Y = y) (Type integers or decimals. Do not round.) b. Use random-variable notation to describe the events that Y takes on the value 5, a value less than 5, and a value of at least 5. The event that Y takes on the value 5 can be represented as The event that Y takes on a value less than 5 can be represented as The event that Y takes on a value of at least 5 can be represented as { }. c. Find P(Y = 5), P(Y 5). %3D P(Y = 5) = (Type an integer or a decimal. Do not round.) P(Y<5) = (Type an integer or a decimal. Do not round.) P(Y 2 5) = (Type an integer or a decimal. Do not round.) LO

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