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For the distribution N(3,2) match the probabilities below: P(X<5) P(X<4) P(X> 5) P(X > 4) P(X > 0) P(X < 0) [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] <

For the distribution N(3,2) match the probabilities below: P(X<5) P(X<4) P(X> 5) P(X > 4) P(X > 0) P(X < 0) [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] <

MATLAB: An Introduction with Applications
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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When working on a normal distribution other than the standard normal distribution you need to either first convert to the z-scores and then find probabilities using the standard normal distribution (N(0,1)) OR when using technology you can input the mean and standard deviation. P (a < X < b) = normalcdf(a,b,u, o)=normalcdf(staring data value, ending data value, mean, standard deviation) to find the probability given the interval of data values. This is equal to P(<Z<b) = normalcdf(-)-normalcdf(smaller z-score, larger z-score) For finding the data value given the area you can use invNorm. Again you either need to convert the z-score back to the data value OR tell the calculator the mean and standard deviaiton. invNorm(area to the left, mean, standard deviation) = data value =X invNorm(area to the left) = Z = Z-score. Then X = μ + Z.o For the distribution N(3,2) match the probabilities below:
Transcribed Image Text:When working on a normal distribution other than the standard normal distribution you need to either first convert to the z-scores and then find probabilities using the standard normal distribution (N(0,1)) OR when using technology you can input the mean and standard deviation. P (a < X < b) = normalcdf(a,b,u, o)=normalcdf(staring data value, ending data value, mean, standard deviation) to find the probability given the interval of data values. This is equal to P(<Z<b) = normalcdf(-)-normalcdf(smaller z-score, larger z-score) For finding the data value given the area you can use invNorm. Again you either need to convert the z-score back to the data value OR tell the calculator the mean and standard deviaiton. invNorm(area to the left, mean, standard deviation) = data value =X invNorm(area to the left) = Z = Z-score. Then X = μ + Z.o For the distribution N(3,2) match the probabilities below:
For the distribution N(3,2) match the probabilities below: P(X<5) P(X<4) P(X> 5) P(X > 4) P(X > 0) P(X < 0) [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] <
Transcribed Image Text:For the distribution N(3,2) match the probabilities below: P(X<5) P(X<4) P(X> 5) P(X > 4) P(X > 0) P(X < 0) [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] <
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