Deriving Expectations from Formulas: (y1,y2) Distribution

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In summary, the conversation discusses the expectations of discrete valued variables (y1,y2) that follow a certain distribution. It is noted that the expectations E{y1^2*y2^2} and E{y1^2}*E{y2^2} are equal to 0 and 1/4, respectively. The conversation then explains how these expectations were derived and provides an informal explanation.
  • #1
electronic engineer
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Hello,
we have the following example:

Assume that (y1,y2) are discrete valued and follow such a distribution that the pair are with probability 1/4 equal to any of the following cases: (0,1),(0,-1),(1,0),(-1,0) .


E{y1^2*y2^2}=0
E{y1^2}*E{y2^2}=1/4
I don't understand how the expectations were derived . Could anyone help?

Thanks in advanced!
 
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  • #2
Hello electronic engineer! :smile:

(try using the X2 and X2 icons just above the Reply box :wink:)
electronic engineer said:
E{y1^2*y2^2}=0
E{y1^2}*E{y2^2}=1/4

easy! … y12y22 is always 0, isn't it, so its expectation must be 0

and y12 is 0 0 1 and 1 with probability 0.25 each, so its expectation is 0.5 :wink:
 
  • #3
I know but I thought this is only an informal answer :)
 

Related to Deriving Expectations from Formulas: (y1,y2) Distribution

What does "Deriving Expectations from Formulas: (y1,y2) Distribution" mean?

"Deriving Expectations from Formulas: (y1,y2) Distribution" refers to the process of using mathematical formulas to calculate the expected values of two variables, y1 and y2, in a given distribution. This can help scientists make predictions and analyze data in various fields such as statistics, economics, and physics.

What is the significance of deriving expectations from formulas?

Deriving expectations from formulas allows scientists to make informed decisions and draw conclusions based on mathematical calculations instead of relying solely on observations or experiments. It helps to provide a more precise understanding of the relationship between variables and can be used to make predictions and test hypotheses.

What are the steps involved in deriving expectations from formulas?

The steps involved in deriving expectations from formulas may vary depending on the specific distribution and variables being analyzed. However, the general process involves identifying the formula for calculating the expected value, plugging in the values for the variables, and then solving the equation to determine the expected value.

How are expectations from formulas used in scientific research?

Expectations from formulas are used in scientific research to analyze data, make predictions, and test hypotheses. By calculating the expected values of variables, scientists can make informed decisions and draw conclusions based on mathematical evidence.

What are some examples of distributions used in deriving expectations from formulas?

Some examples of distributions used in deriving expectations from formulas include binomial distribution, normal distribution, and Poisson distribution. These distributions are commonly used in statistics and can help scientists understand the expected outcomes of various events or phenomena.

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