Use the probability distribution to complete parts (a) and (b) below.The number of defects per 1000 machine parts inspectedDefects0123Probability 0.2690.2950.2410.14440.03850.013(a) Find the mean, variance, and standard deviation of the probability distribution.The mean is.(Round to one decimal place as needed.)

Defects012345Probability0.2690.2950.2410.1440.0380.013

Answered: Use the probability distribution to…

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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Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 Probability 0.263 0.286 0.245 0.153 0.043 0.010 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is 1.5. (Round to one decimal place as needed.) The variance is (Round to one decimal place as needed.)
GlenBluss Community College has a population mean GPA is 2.82 with population standard deviation of 1.07 for all students who have ever attended the college. Find the probability a student at random will have a GPA over 3.24. __________Round to 4 decimal places.If 5 students are chosen at random, what is the probability their mean GPA will be more than 3.24?__________% Round to the nearest whole percent.
What requirements are necessary for a normal probability distribe on to be a standard normal probability distribution? Choose the correct answer below. OA. The mean and standard deviation have the values of µ=0 and 1. OB. The mean and standard deviation have the values of u=0 and a=0. C. The mean and standard deviation have the values of u=1 and e=0. D. The mean and standard deviation have the values of u= 1 and e=1.
If Z is a standard normal variable, find the probability. The probability that Z is less than −0.25.
What is the standard deviation of this probability distribution
The probability distribution given describes the number of thunderstorms that a certain town may experience during the month of August. Let X represent the number of thunderstorms in August. Calculate the variance (VX). X=# of storms 0 1 2 3 p(x) 0.1 0.2 0.4 0.3 A. 1.06 B. 1.6 C. 0.94 D. 0.89
Save Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects Probability 0.262 0.301 0.243 0.138 0.042 0.014 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is 1.4. (Round to one decimal place as needed.) The variance is 1.5. (Round to one decimal place as needed.) The standard deviation is 1.2. (Round to one decimal place as needed.) (b) Interpret the results. The mean is , so the average batch of 1000 machine parts has The standard deviation is so the typical number of defects in a batch of 1000 (Round to one decimal place as needed.) no defects. 1 or 2 defects. at least 2 defects. Clear all Check answe!
Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 3 4 Probability 0.267 0.291 0.238 0.148 0.040 0.016 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is (Round to one decimal place as needed.) The variance is. (Round to one decimal place as needed.) The standard deviation is (Round to one decimal place as needed.) (b) Interpret the results. V The standard deviation is1. so the typical number of defects in a hal The mean is , so the average batch of 1000 machine parts has batch of 1000 (Round one decimal place as needed.) Enter your answer in each of the answer boxes. Next Question
Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 0 1 2 3 4 5 Probability 0.266 0.292 0.238 0.145 0.040 0.019 (a) Find the mean, variance, and standard deviation of the probability distribution. What is the mean? (Round to one decimal place as needed.) (b) Interpret the results In part (a), and Use these values to draw a conclusion in the context of the problem.
Estimate the indicated probability by using the normal distribution as an approximation to thebinomial distribution. Estimate P(6) for n = 18 and p = 0.3
Suppose that the weight of an newborn fawn is Uniformly distributed between 2.5 and 3.8 kg. Suppose that a newborn fawn is randomly selected. Round answers to 4 decimal places when possible.a. The mean of this distribution is b. The standard deviation is c. The probability that fawn will weigh exactly 3.7 kg is P(x = 3.7) = d. The probability that a newborn fawn will be weigh between 3.1 and 3.4 is P(3.1 < x < 3.4) = e. The probability that a newborn fawn will be weigh more than 3.36 is P(x > 3.36) = f. P(x > 2.6 | x < 3.3) = g. Find the 58th percentile. solve e,f and g only.
Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 4 Probability 0.264 0.290 0.240 0.148 0.042 0.016 ..... (a) Find the mean, variance, and standard deviation of the probability distribution.

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