ABP(x)0.2781230.576420.114530.028640.003750.00181011 (a) Verify that this is a discrete probability distribution.This is a discrete probability distribution becausebetweenand,inclusive, and theof theprobabilities is |

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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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The following table contains the probability distribution for X = the number of re-transmissions necessary to successfully transmit a 5 GB data package through a double satellite media. X P(x) 0 0.40 1 0.30 2 0.25 3 0.05 Find the probability that there is at most two re-transmission. The probabilities that discipline officers will discover violations of the student handbook in a certain school in a quarter are given in the following table. Number of Violations (v) 3 4 5 6 7 8 9 Probability P(v) 0.3100 0.1200 0.1700 0.1200 0.1300 0.1000 0.0500 What is the probability that on a given day, discipline officers will discover at most 6 violations of the student handbook? (Input answer in 4 decimal places) type your answer...
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.
---it's from actuarial mathss---
number 13 a
Test whether mu 1 less than mu 2μ1<μ2 at the alphaα=0.01 level of significance for the sample data shown in the accompanying table. Assume that the populations are normally distributed. Determine the null and alternative hypothesis for this test. A. H0:mu 1<mu 2μ1<μ2 H1:mu 1= mu 2μ1=μ2 B. Upper H 0 :H0:mu 1 equals mu 2μ1=μ2 Upper H 1 :H1:mu 1 not equals mu 2μ1≠μ2 C. Upper H 0 :H0:mu 1 not equals mu 2μ1≠μ2 Upper H 1 :H1:mu 1 less than mu 2μ1<μ2 D. Upper H 0 :H0:mu 1 equals mu 2μ1=μ2 Upper H 1 :H1:mu 1 less than mu 2μ1<μ2 Your answer is correct. Detemine the P-value for this hypothesis test. Pequals=nothing (Round to three decimal places as needed.)
A salesperson makes four calls per day. A sample of 100 days gives the following frequencies of sales volumes. Number of Sales f(x) = X 0 1 2 0 3 1 4 2 3 4 Total Records show sales are made to 30% of all sales calls. Assuming independent sales calls, the number of sales per day should follow a binomial probability distribution. The binomial probability function presented in Chapter 5 is n! x!(n - x)! For this exercise, assume that the population has a binomial probability distribution with n = 4, p = 0.30, and x = 0, 1, 2, 3, and 4. (a) Compute the expected frequencies for x = 0, 1, 2, 3, and 4 by using the binomial probability function. Expected Frequencies 0.2401 0.2646 Observed Frequency 0.0708 (days) p*(1-P)^-x. X 32 33 26 6 3 100
Let y denote the number of broken eggs in a randomly selected carton of one dozen eggs. Suppose that the probability distribution of y is as follows. y 0 1 2 3 4 p(y) 0.63 0.19 0.11 0.05 ? (a) Only y values of 0, 1, 2, 3, and 4 have positive probabilities. What is p(4)? (Hint: Consider the properties of a discrete probability distribution.) p(4) = Calculate P(y ≤ 2), the probability that the carton contains at most two broken eggs. P(y ≤ 2) = Calculate P(y < 2), the probability that the carton contains fewer than two broken eggs. P(y < 2) =
Which of the following is not a property of a discrete probability distribution being valid? All values of P(x) must be positive. All values of P(x) must fall between 0 and 1. All values of x must be positive. The sum of all P(x) values must be 1.
Show that the Geometric probability distribution, with parameter p, is a valid discrete probability distribution.
Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a newspaper article, the mean of the x distribution is about $46 and the estimated standard deviation is about $9. (a) MULTIPLE CHOICE Consider a random sample of n = 40 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of x, the average amount spent by these customers due to impulse buying? What are the mean and standard deviation of the x distribution? A-The sampling distribution of x is approximately normal with mean ?x = 46 and standard error ?x = $0.23. B-The sampling distribution of x is not normal. C-The sampling distribution of x is approximately normal with mean ?x = 46 and standard error ?x = $1.42. D-The sampling distribution of x is approximately normal with mean ?x = 46 and standard error ?x = $9. (MULTIPLE CHOICE)Is it…

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(a) Verify that this is a discrete probability distribution. This is a discrete probability distribution because between and inclusive, and the of the probabilities is