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HelpWithAssignment provides flawless random variables assignment and random variable homework help for students all over the globe. Our team of statistics experts have both professional exposure and academic knowledge to help you out with your random variables assignment and random variable homework. Our team of data analysts and statistics homework help experts are equipped with the necessary prowess to complete your random variable assignments on time. So if you are stuck with discrete random variable assignments or continuous random variable assignment then you should not hesitate but contact us today for help. All our random variable assignment experts are equipped with Masters Degree in Statistics and few of them are also holding PhD in the subject and at the same time, some of them are associated as professors in statistical institutes while others are working as data experts in research units.

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A Random Variable over a sample space is a function that maps every sample point or outcome to a real number. Numerical values are assigned to outcomes in many experiments. A random variable is a function that assigns a value, essentially a numeric value to all possible outcomes of a random experiment. 

These numbers are called values of the random variable. These are often denoted by using X or Y. A random variable is not a variable but rather a function that maps events or outcomes to numbers. 

Suppose, if a coin is tossed three times in a row and the possible outcomes are noted, then the possible outcomes for the experiment will be S = {HHH, HHT, HTH, HTT, THH, TTT}. If X is taken as the random variable to the number of heads, then SX = {0, 1, 2, 3}. 

Discrete Random Variables 

A discrete random variable can take only finite, specific, isolated numeric values, like the outcome of a roll of dice, or the number of dollars in a randomly chosen bank account. 

Continuous Random Variables     

A continuous random variable on the other hand can take infinite values, like the temperature of a room for one continuous day or the height of a man in centimeters.
Sometimes, it is necessary to add or subtract random variables. When this occurs, it is useful to know the mean and variance of the result.
Sums and Differences of Random Variables: Effect on the Mean

Suppose you have two variables: X with a mean of μx and Y with a mean of μy. Then, the mean of the sum of these variables μx+y and the mean of the difference between these variables μx-y are given by the following equations.
μx+y = μx + μy       and       μx-y = μx – μy

The above equations for general variables also apply to random variables. If X and Y are random variables, then
E(X + Y) = E(X) + E(Y)       and       E(X – Y) = E(X) – E(Y)
where E(X) is the expected value (mean) of X, E(Y) is the expected value of Y, E(X + Y) is the expected value of X plus Y, and E(X – Y) is the expected value of X minus Y. 

 Independence of Random Variables

If two random variables, X and Y, are independent, they satisfy the following conditions.
 P(x|y) = P(x), for all values of X and Y.
 P(x ∩ y) = P(x) * P(y), for all values of X and Y.
The above conditions are equivalent. If either one is met, the other condition also met; and X and Y are independent. If either condition is not met, X and Y are dependent.
Note: If X and Y are independent, then the correlation between X and Y is equal to zero.
Sums and Differences of Random Variables: Effect on Variance
Suppose X and Y are independent random variables. Then, the variance of (X + Y) and the variance of (X – Y) are described by the following equations
 Var(X + Y) = Var(X – Y) = Var(X) + Var(Y)
where Var(X + Y) is the variance of the sum of X and Y, Var(X – Y) is the variance of the difference between X and Y,Var(X) is the variance of X, and Var(Y) is the variance of Y.
Note: The standard deviation (SD) is always equal to the square root of the variance (Var). Thus,
SD(X + Y) = sqrt[ Var(X + Y) ]       and       SD(X – Y) = sqrt[ Var(X – Y) ]  

Why Seek Help with your Random Variable Assignment?

Random Variables Assignment Help

Clarity of Concept: Sometimes the lectures provided in your class are not enough to make you understand about such complex concepts like random variables. Our data analysis online experts are equipped with the knowledge and experience to help you gain the desired clarity.

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Backgrounds of our Random Variable Assignment Experts:

  • Equipped with an MS (Masters in Statistics) our head random variable assignment expert is associated with the Biostatistics department of a California based University. She has been helping out with random variable assignment problems for our clients for more than 8 years and has gained good feedback.
  • A senior data analyst in a biometry research unit in Canada, our random variable assignment expert is associated with us for more than 5 years.
  • A former lecturer of statistics in a Boston based reputed University our random variable assignment expert is involved in SPSS analysis of population data for a government aided agency. He is helping out with the projects of our clients for more than 3 years and so far has helped many students get the top most grades in their class.

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“I must say that the random variable assignment experts here in HwA can surely make the numbers talk. I was given a sheet of data to analyze and honestly I had no clue whatsoever on how to approach. When I came to them they explained me the concept of discrete random variables (as the data was of an outcome of random test on some microorganism) and helped me analyze the same. My teacher at college was very impressed and since then I take help from HwA”. –Jessie Maddox

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