II. Tell whether or not the given distribution is a discrete or not. If it's not, identify what properties itviolatesa,1234P(x)0.100.200.250.400.05b.4P(x)0.050.250.330.280.08C.23P(x)0.030.221.010.230.02II. Complete the table by finding the unknown3P(x)k4k1515515151. Find k3P(x)d96.2d2252525252. Find d5.2.

Answered: Image /qna-images/answer/b8ba749f-0582-455d-98c1-ea1d9adf8cf1.jpg

Answered: II. Tell whether or not the given…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

A social service organization reports that the level of educational attainment of mothers receiving food stamps is uniformly distributed. To test this claim, you randomly select 99 mothers who currently receive food stamps and record the educational attainment of each. The results are shown in the table on the right. At a = 0.05, can you reject the claim that the distribution is uniform? Complete parts (a) through (d) below. Response Not a high school graduate High school graduate College (1 year or more) Frequency, f 37 38 24 (a) State H, and H, and identify the claim. Hn: The distribution of educational attainment responses is H: The distribution of educational attainment responses is Which hypothesis is the claim? O Ho O Ha (b) Determine the critical value, Yo, and the rejection region. X = (Round to three decimal places as needed.) Choose the correct rejection region below. O B. Xx% OA. X 2X% Oc. Xsx (c) Calculate the test statistic. Y = (Round to three decimal places as needed.)…
2. Below is a probability distribution for the number of students with high honors. 3 4. 1. 0.35 2. 0.25 0.20 0.10 0.10 P(X) a. Find P(x-3). b. Find P(x <3). c. Find P(x 2 1). 2022.02.18 11:27
Q8. In the casino game roulette, the probability of winning with a bet on red is 0.5. Let X be the number of winning bets out of 64 independent bets that are placed. Let Ø be the cumulative distribution function of the standard normal distribution. Find approximately P(X = 32), using the central limit theorem. (A) 0 (B) 0.5 (C) 20 (1)-1 (D) 20()-1 (E) None of the above
A discrete distribution for X is given by the foliowing table: -6 -5 -3 -2 -1 1. 5 9. 7. 10 11 13 14 15 16 20 P(X) 0.01 0.05 0.2 0,01 0.1 0.03 0.1 0,01 0.08 0.02 0.07 0.05 0.01 0.1 0.03 0.02 0.01 0.03 0.02 0.05 Build vectors in R tyou can copy/paste for speed): omega - cl-8,6, 5,3,2,-1.0,1,2,5.6.7,9, 10,11,13.14,15, 16,20 ) p-c(0.01,0.05,0.2,0.01,0.1,0.03,0.1,0.01,0.08,0.02,0.07,0.05,0.01,0.1,0.03,0.02,0.01,0.03,0.02,0.05 ) a. Use R to compute j E(X). b. Uhe R to compute Var(X) =2 P(z) (2 - ) either by using "sum p (omega mu) 2 )" or Var(X) - E(X) - E(X)". c. Check to see how close a sample estimation gets. Take a sample of 100 from omega (and with probabilities from p). Then compute "mean(x)" and varx). Try this for a few different samples. Then do the same with samples of 16.000. which should you expect to give more accurate estimates lining up to the "true" values in a,b O The samples of size 100 provide more accurate estimates for EX) and Var (X) O The saimples of size 16.000…
The probability distribution of y, the number of accidents per 10 days of a diversion road in continuous days, is given by 1 3 4 f(y) 0.40 0.30 0.15 0.05 0.10 a. What is the probability of 1
2. Graph each distribution using a probability histogram. a) P(x) b) P(x) 0.05 1 12 4 0.13 5 12 1 6. 0.24 8. 0.38 1 3 10 0.12 1 12 0.05 3 14 0.03
answer in 30mins pls
Suppose you were given this Joint Probability Distribution: y = number of times city name is stated 1 Find the conditional mean and variance of Y|3 Mean = Blank 1 Variance = Blank 2 x = number of bars of signal strength 2 3 4 0.15 0.1 0.05 3 0.02 0.1 0.05 20.02 0.03 0.2 1 0.01 0.02 0.25 0.2 0.25 0.55 Marginal probability distribution of X Marginal probability distribution of Y 0.3 0.17 0.25 0.28
The probability distribution for X and Y is shown by the table. Find the marginal distribution function value of X = 1. G(1) = X 2 3 1 0.06 0.10 0.04 2 0.10 0.12 0.13 3 0.15 0.19 0.11 Y
Q7. A random variable X with a mean of 2.5 follows an exponential distribution. Find the following probabilities: (a) P(X > 2.5), (b) P(X xo) = 0.05.
review(10a): In the z distribution the mean will always be (a) less than 1 (b) greater than 1 (c) equal to 1. (d) equal to zero.
please solve it as soon as possible

SEE MORE QUESTIONS

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS