A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.[you may need to manually type this data in excel instead of copying and pasting it] Number of Breakdowns Probability 0 0.12 1 0.38 2 0.25 3 0.18 4 0.07 1. The probability of no breakdowns in a month is _________ 2. What is the variance of this data? ______________

A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.[you may need to manually type this data in excel instead of copying and pasting it] Number of Breakdowns Probability 0 0.12 1 0.38 2 0.25 3 0.18 4 0.07 1. The probability of no breakdowns in a month is _ 2. What is the variance of this data? ______

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Number of Breakdowns	Probability
0	0.12
1	0.38
2	0.25
3	0.18
4	0.07

Similar questions

A video game developer is testing a new game on three different groups. Each group represents a different target market for the game. The developer collects scores from a random sample from each group. Assume that the data are from normally-shaped distributions which have equal variances. The results are shown in the table below. Round all answers to 4 decimal places. Group A 105 101 103 104 109 Group B Group C 149 173 156 149 124 124 a. What is the F Statistic? b. What is the p-value? 190 194 102 102
. Variance: The number of cars that pass through a toll booth in an hour follows a probability distribution with the following values: NUMBER OF CARS (X) PROBABILITY P(X) 0 0.1 1 0.3 2 0.4 3 0.2 Calculate the variance of the number of cars passing through the toll booth in an hour.
Example (H.W.): Find the mean and variance from the m. g. f. of binomial distribution.
4. Review the variance function for specific distributions. For Bernoulli, Poisson, Gamma, and Inverse Gaussian, what does the variance function say about our ability to predict the range of possible values? (This may be a little bit challenging; give it your best guess.)
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Consider the following probability distribution function of X and Y: 1 2 0.35 0.05 Y 1 0.15 0.45 Find the variance of X and the variance of Y.
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Please answer the question in the photo. Thank you!
Please help this is class work
Suppose that for a given computer salesperson, the probability distribution of x = the number of systems sold in one week is given by the following table. x 1 p(x) 2 3 4 5 0.06 0.10 (a) Find the mean value of x (the mean number of systems sold). 0.11 0.30 6 7 8 0.29 0.12 0.01 0.01 (b) Find the variance and standard deviation of x. (Round your standard deviation to four decimal places.) variance standard deviation How would you interpret these values? (Round your standard deviation to four decimal places.) The mean squared deviation from the mean number of systems sold in one week is A typical deviation from the mean number of systems sold in one week is (c) What is the probability that the number of systems sold is within 1 standard deviation of its mean value? (d) What is the probability that the number of systems sold is more than 2 standard deviations from the mean?
Answer A & B