Question

Suppose that contamination size particle (in micrometers) can be modeled as f(x)=2x^(-3) for x>1. 1) What...

Suppose that contamination size particle (in micrometers) can be modeled as f(x)=2x^(-3) for x>1.

1) What is the random variable for this problem?

2) Confirm that f(x) is a probability density function.

3) Give the cumulative distribution function.

4) Determine the mean.

5) What is the probability that the size of the random particle will be less than 5 micrometers? Be sure to give probability statement.

6)An optical device is being marketed to detect contamination particles. It is capable of detecting particles exceeding 7 micrometers in size. What proportion of the particles will be detected?

7)What is the random variable for this problem?

Homework Answers

Answer #1

1)here random variable is the size of  contamination  particle

2)

for above to be valid f(x) dx must be 1

f(x) dx =(2x-3) dx =(-2x-2/2)|1 = -0-(-1)=1

therefore f(x) is valid probability density function

3)

CDF =F(x)= f(x) dx =(2x-3) dx =(-2x-2/2)|x1 =1-1/x2

4)

mean E(X)= xf(x) dx =(2x-2) dx =(-2x-1/1)|1 = -0-(-2)=2

5)

P(X<5) =F(5)=1-1/52 =1-24/25 =0.96

probability  that the size of the random particle will be less than 5 micrometers is 0.96.

6)

proportion of the particles will be detected =P(X>7) =1-P(X<7) =1-(1-1/72) =1/49 =0.0204

7)

random variable is proportion of  particles that will be detected by optical device

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Question 1) The concentration, X, in ppm of chlorophyll in outfield grass be modeled as a...
Question 1) The concentration, X, in ppm of chlorophyll in outfield grass be modeled as a gamma random variable with parameters α = 5 (α is called shape in R.) and β = 12 (β is called scale in R.). Thus, X has probability density: f(x,α,β) = 1 / β^αΓ(α) xα−1e−x/β for 0 ≤ x ≤ ∞ and 0 otherwise with α = 5 and β = 12 Note that Γ(α) is the gamma function. In R, there is a...
what does a derivative tell us? F(x)=2x^2-5x-3, [-3,-1] F(x)=x^2+2x-1, [0,1] Give the intervals where the function...
what does a derivative tell us? F(x)=2x^2-5x-3, [-3,-1] F(x)=x^2+2x-1, [0,1] Give the intervals where the function is increasing or decreasing? Identify the local maxima and minima Identify concavity and inflection points
Suppose a random variable has the following probability density function: f(x)=3cx^2 (1-x) 0≤x≤1 a) What must...
Suppose a random variable has the following probability density function: f(x)=3cx^2 (1-x) 0≤x≤1 a) What must c be equal to for this to be a valid density function? b) Determine the mean of x, μ_x c) Determine the median of x, μ ̃_x d) Determine: P(0≤x≤0.5) ?
Q1-What should be the value c so that the function f(x) = 1/c * (x2 +...
Q1-What should be the value c so that the function f(x) = 1/c * (x2 + 3.3), for x = 0, 1, 2, 3  can serve as a probability distribution of the discrete random variable X? Q2-If we have a random variable T distributed according to exponential distribution with mean 1.3 hours. What is the probability that T will be greater than 46 minutes?
Question 1 (General Discrete) Household Size from U.S. Census of 2010 Let X be the random...
Question 1 (General Discrete) Household Size from U.S. Census of 2010 Let X be the random variable: number of people (persons!) in a household. Number of people in household (x) Probability P(X=x) xP(x) x-μ x-μ2 P(x)x-μ2 1 0.267 2 0.336 3 0.158 4 0.137 5 0.063 6 0.024 7 0.015 Totals: Confirm that this is a probability distribution. Draw a bar chart. Is the distribution symmetric, left or right skewed? Calculate the mean and standard deviation. What is the probability...
1- For a sample of size 4, if 12 3 xx xx xx − =10, 8,...
1- For a sample of size 4, if 12 3 xx xx xx − =10, 8, and 6, − = − − = − then the sample variance is equal to __________. 2- The __________ of an experiment is the set of all possible outcomes of that experiment. 3- Let A = {1,2,3,4} and B = {3,4,5,6,}, then A B ∪ ={__________} Section 2.2 10. If A and B are mutually exclusive events, then the probability of both events occurring...
Suppose that a random variable X has the distribution (pdf) f(x) =kx(1 -x^2) for 0 <...
Suppose that a random variable X has the distribution (pdf) f(x) =kx(1 -x^2) for 0 < x < 1 and zero elsewhere. a. Find k. b. Find P(X >0. 8) c. Find the mean of X. d. Find the standard deviation of X. 2. Assume that test scores for all students on a statistics test are normally distributed with mean 82 and standard deviation 7. a. Find the probability that a single student scores greater than 80. b. Find the...
I. Solve the following problem: For the following data: 1, 1, 2, 2, 3, 3, 3,...
I. Solve the following problem: For the following data: 1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 5, 6 n = 12 b) Calculate 1) the average or average 2) quartile-1 3) quartile-2 or medium 4) quartile-3 5) Draw box diagram (Box & Wisker) II. PROBABILITY 1. Answer the questions using the following contingency table, which collects the results of a study to 400 customers of a store where you want to analyze the payment method. _______B__________BC_____ A...
1) What are some indicators that there are assignable causes for variation in a process? I.Process...
1) What are some indicators that there are assignable causes for variation in a process? I.Process capability. II. Data patters outside of the control limits. III. Data patters within the control limits. IV. Points randomly falling above and below the control chart center line. a. II and III b. II, III, IV c. I, II, IV d. I, II, III, IV 2) The best quantitative tool to determine the cause for variation in a process is: a. ANOVA b. Correllation...