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This is supposed to be Y > u

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Q: 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.?
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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.


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


When a coin is tossed 10 times in a row what is the probability that heads comes up at least 8 times?

The Binomial distribution has the probability function P(x=r)= nCr p^r (1-p)^(n-r) r=0,1,2,.....,n where nCr = n! / r! (n-r)! n=number of tosses =10 p=probability of a head in a single toss=1/2 r=8,9,10 We have to compute each probability and add them all up. P(r=8) = 10C8 (1/2)^8 (1/2)^2 P(r=9) = 10C9 (1/2)^9 (1/2) P(r=10) = 10C10 (1/2)^10 http://www.pindling.org/Math/Statistics/Textbook/Functions/Binomial/binomial_2_8.htm The above link computes each probability. =0.0439+0.0098+0.0010 = 0.0547 is the required probability. One may also use a calculator to compute these expressions.


What does is mean when the standard deviation is 0?

Intuitively, a standard deviation is a change from the expected value.For the question you asked, this means that the change in the "results" doesn't exist, which doesn't really happen. If the standard deviation is 0, then it's impossible to perform the test! This shows that it's impossible to compute the probability with the "null" standard deviation from this form:z = (x - µ)/σIf σ = 0, then the probability doesn't exist.


What is usually not possible to compute one relies on a sample statistic?

Population Parameter

Related questions

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.


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 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.