A data scientist tracked how many cups of coffee she drank every day at work over thecourse of a year. She used the data to build a probability distribution where the randomvariable X represents the number of cups of coffee she drank on a given day. Here is thepartially completed distribution:30.42P(X)0.050.100.180.25Then P(0 s X < 3) =None of other options0.350.750.57

Answered: Image /qna-images/answer/3d554728-ebb5-4b66-aff4-bb9d531fdeea.jpg

Answered: A data scientist tracked how many cups…

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...

See similar textbooks

Similar questions

For families with 5 children, let XX be the number of children with Genetic Condition B. Can the following table be a probability distribution for the random variable XX? xx P(x)P(x) 1 0.1452 2 0.2435 3 0.2409 4 0.2441 5 0.1263 A. no B. yes Is it correct answer B?
A deck of four (4) cards has exactly one (1) color printed on each face – blue, yellow, red, or green. You have two (2) identical decks of this type. In this game, you randomly select a card from each of the two decks. Your score is the number of blue cards drawn – refer to this quantity as X. The probability distribution is below: X P(X) 0 0.5625 1 0.375 2 0.0625 What is the probability that zero blue cards are drawn?
The annual premium for a $15,000 insurance policy against the theft of a painting is $250. If the (empirical) probability that the painting will be stolen during the year is 0.02, what is your expected return from the insurance company if you take out this insurance? Let X be the random variable for the amount of money received from the insurance company in the given year. E(X)= dollars
Do you tailgate the car in front of you? About 30% of all drivers will tailgate before passing, thinking they can make the car in front of them go faster. Suppose that you are driving a considerable distance on a two-lane highway and are passed by 12 vehicles. (a) Let r be the number of vehicles that tailgate before passing. Make a histogram showing the probability distribution of r for r = 0 through r = 12. (b) Compute the expected number of vehicles out of 12 that will tailgate. vehicles(c) Compute the standard deviation of this distribution. (Round your answer to two decimal places.) vehicles
An automotive center keeps track of customer complaints received each week. The probability distributions of complaints are shown below. The random variable, xi, represents the number of complaints, and p(xi) is the probability of receiving xi complaints for two of the stores. The cost impact of each complaint is believed to be y=$10x3 where x is the number of complaints. Store A xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.20 0.25 0.15 0.10 0.05 Store B xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.25 0.22 0.13 0.08 0.07 The Manager provides the following utility function to evaluate the two stores. xi 0 1 2 3 4 5 6 u(xi) 1.00 0.60 0.40 0.20 0.10 0.05 0.00 Which store does the Manager prefer as having fewer complaints? Compare using utility as the metric with using the average number of complaints as the criterion for deciding which Store is better (or…
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 = 9.1 mg/L with 95% of the data ranging from 6.7 mg/L to 11.5 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. QUESTION: (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.)
The lifespan of a car battery is normally distributed with μ = 5 years and o= 1.2 years. What is the probability that a new battery will last between 7 and 8 year 4.16% 13.74% 2.15% 3.61% New version available! (3.0.286) GET IT NOW
On average, you receive 2.6 pieces of junk mail a day. Assume that the number of pieces of junk mail you receive each day follows the Poisson distribution. What is the probability that you receive exactly three pieces of junk mail today? A 0.2196 B 0.2167 C 0.1276 D 0.2176
Suppose the probability distribution of x, the number of defective tires on a randomly selected car checked at a certain inspection station, is given in the following table. x 0 1 2 3 4 p(x) 0.60 0.14 0.05 0.03 0.18 (a) Calculate the mean value of x. (b) What is the probability that x exceeds its mean value?
The proportion of individuals insured by a certain company who received at least one traffic ticket during a five-year period is 0.15. If a sample of 150 individuals insured by the company is taken, approximately what z-score would be used to find the probability that the sample proportion will be less than 0.13? O A. -0.68493 O B. -0.68966 O C. -0.68599 O D. -0.66667 O E. -0.68611
g is the probability distribution of a random variable that represents the number of extracurricular activities a college freshman participates in. x 0 1 2 3 4 Px 0.06 0.13 0.45 0.23 0.13 Find the probability that a student participates in more than two activities.
An automotive center keeps track of customer complaints received each week. The probability distributions of complaints are shown below. The random variable, xi, represents the number of complaints, and p(xi) is the probability of receiving xi complaints for two of the stores. The cost impact of each complaint is believed to be y=$10x3 where x is the number of complaints. Store A xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.20 0.25 0.15 0.10 0.05 Store B xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.25 0.22 0.13 0.08 0.07 Sample from these distributions to compute the total number of complaints (store A+B) per week for 52 weeks.

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS