A tire manufacturer warranties its tires to last at least Q5 20189 miles or "you get a new set of tires." In its experience, a set of these tires lasts on average 26189 miles with standard deviation 5054 miles. Assume that the wear is normally distributed. The manufacturer profits Rs. 200 on each set sold, and replacing a set costs the manufacturer Rs. 400. a) What is the probability that a set of tires wears out before 20189 miles? b) What is the probability that a set of tires wears out before c) What is the cutoff value in terms of miles of the top 24189 miles and after 20189 miles? 27% wearing out tires.

Q: According to an almanac, 60% of adult smokers started smoking before turning 18 years old. (a)…

A: Given information- Sample size, n = 300 The proportion is = 0.60 So, p = 0.60, q = 1 - p = 0.40

Q: According to an almanac, 80% of adult smokers started smoking before turning 18 years old. (a)…

A: Binomial distribution: The binomial distribution gives the probability of number of successes out of…

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A: Given: X~P28.8

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A: The rates of on-time flights for commercial jets are continuously tracked by the U.S. Department of…

Q: Quarters are now manufactured so that they have a mean weight of 5.670 g and a standard deviation of…

A: Given: μ=5.670 g σ=0.062 g n=4

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A: Given information: μ=3 i)  x = 10 By applying poisons distribution:- P(x,μ)=e-μ(μx)x!

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A: Mean = Median (Normal distribution property) -------------------------- Z = x-μσ~N(0,1)

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A: GivenA customer on second floor must wait for the has a uniform distributionranging from 2 to 5…

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A: Given,sample size(n)=36mean(μ)=10.53standard deviation(σ)=2

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A: Given that  According to almanac  60​%of adult smokers started smoking before turning 18 years old.…

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A: Given: Averageμ=20000standard deviationσ=550 Z score : z=x-μσ

Q: A factory produces components of which 5% are defective. Using a suitable approximation, what is the…

A: This problem can be solved using Poisson distribution.

Q: A certain kind of sheet metal has, on average, 3 defects per 20 square feet. Assuming a Poisson…

A:

Q: A manager of an apartment store reports that the time of a customer on the second floor must wait…

A: Given : Lower limit ,a =  1 upper limit,b = 6

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A: Given,

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A: Given data, p=0.35 n=12 P(X=4)=?

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A: The answer is attached below,

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A:

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A: Solution

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A:

Q: An automobile battery manufacturer company named Everlast conducted a test which indicates the…

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A:

Q: An automatic machine in a manufacturing process is operating properly if the lengths of an important…

A: Given that.   X~N( μ , ?^2 )   μ=117     , ?=5.2   Z-score =( x - μ )/?

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A: Given Lamda=5.6

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A:

Q: According to a report of a particular machined parts inspection process, 5% of all machined parts in…

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A:

Q: At a factory which produces hard drives, defective hard drives are produced according to a Poisson…

A:

Q: (a) The life time of a certain brand of bulbs produced by a company is normally 15 distributed, with…

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A:

Q: Data from 14 cities were combined for a​ 20-year period, and the total 280 ​city-years included a…

A: Let X be the number of homicides per city-year X ~ P(λ) P(X=x) =e-λ λxx!; x=0,1,2... Mean number of…

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.