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How do you compute the probability pY and gtu given a random variable Y has a normal distribution with mean m and variance s2.?
You find z = (u - m)/s and the look up the Pr(Z > z) in the tables of cumulative probability of the normal distribution. Note that the tables only give the probabilities for Pr(Z <= z) for z >=0. So Pr(Z > z) = 1 - Pr(Z<=z). Also, if z < 0 then you will need to use the symmetry of Z about the value 0.
What else can I help you with?
What is z value?
If a random variable (RV) X is distributed Normally with mean m and standard deviation sthenZ = (X - m)/s is the corresponding Normal variable which is distributed with mean 0 and variance 1. The distribution of X is difficult to compute but that for Z is readily available. It can be used to find the probabilities of the RV lying in different domains and thereby for testing hypotheses.
How do you compute expected value from random discreet variable?
Follow these steps:Find all the values that the random variable (RV) can take, x.For each x, find the probability that the RV takes than value, p(x).Multiply them: x*p(x).Sum these over all possible values of x.The above sum is the expected value of the RV, X.
What choices is variance of the sample shown here 353641566071?
To calculate the variance of the sample data set 353641566071, first find the mean by adding all the values together and dividing by the number of values. Then, compute the squared differences between each value and the mean, and average those squared differences to obtain the variance. The choices for variance would typically be numerical values reflecting the dispersion of the data around the mean.
Why do we have to compute for the mean median mode and standard deviation?
To obtain a much better, simpler, and more practical understanding of the data distribution.
How do you compute the p-value?
The first step in calculating a p-value is to make a hypothesis of the statistical model for your study. You then assume that the hypothesis is true and calculate the probability of observing an outcome at least as extreme as the one that you did observe. This probability is the p-value.
How do you compute the probability Y and gt you given a random variable Y has a normal distribution with mean m and variance s2.?
This is supposed to be Y > u
How do you compute the probability distribution of a function of two Poisson random variables?
we compute it by using their differences
How do you compute discrete variables?
You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.
Which of the following is incorrect Select one a. Probability distribution is used to compute continuous random variables b. Probability distribution equals to one. c. Probability distribution is used?
b is incorrect while c is virtually meaningless.
What is z value?
If a random variable (RV) X is distributed Normally with mean m and standard deviation sthenZ = (X - m)/s is the corresponding Normal variable which is distributed with mean 0 and variance 1. The distribution of X is difficult to compute but that for Z is readily available. It can be used to find the probabilities of the RV lying in different domains and thereby for testing hypotheses.
How to compute residual variance of RIL and Sensex?
Variance is variability and diversity of security from average mean and expected value Variance = standard deviation fo security * co relation (r) devided by standanrd deviation of sensex
How do you compute market price variance?
Price Variance = (Actual Price/Unit - Budgeted Price/Unit) x Actual Quantity of Output = (AP - SP) x AQ
Compute the probability given an event that a male person will get pregnant mathematically?
The probability that mathematics will make a male pregnant is zero!
How do you compute GDP using industrial origin?
You can compute GDP using industrial origin by creating a solvable equation and substituting in an X variable as well as a Y variable for the unknowns that you would like to solve for.
Manufacturing overhead - fixed or variable cost?
Compute the actual and budgeted manufacturing overhead rate
What are the odds Dallas Cowboys will win the super bowl 3 to 1. compute probability?
For 3 to 1 odds of winning;Probability of winning:0.25, or;Chance of winning:25%
What does a variable scale look like?
A variable scale uses a set of adjustable accordion-like compasses to compute the distances between points on a map or diagram.
