HELP Sums of Random Variables problem: Statistics

In summary, the conversation was about a statistics problem involving random variables and dice rolls. The participants discussed the sum of four random variables and the expected value of that sum. The correct solution involved using the values of the dice rolls and the coefficients given in the problem to calculate the expected value.
  • #1
geno678
22
0
HELP!Sums of Random Variables problem: Statistics

Homework Statement



3. Assume that Y = 3 X1+5 X2+4 X3+6 X4 and X1, X2, X3 and X4 are random variables that represent the dice rolls of a 6 sided, 8 sided, 10 sided and 12 sided dice, respectively.

a. If all four dice rolls yield a 3, what is the sum of these random variables?

b. What is the expected value of the sum of these random variables?


Homework Equations


=11+22+⋯+
1,2,… represent coefficients
1,2,…, represent variables
If =21+82
1 = First dice roll ; 2 = Second dice roll
Lets say we roll 3, then 5
Y = 2(3) + 8(5) = 46

for part (a)

for part(b)

for expected value
==11+22+⋯+
this part i don't understand.


The Attempt at a Solution



Ok so I attempted part (a). I have no clue if I'm correct though.

So I was given Y = 3(X1) + 5 (X2) + 4(X3) + 6(X4)

Here's where I'm confused. The problems says that all four dice yield a 3.

I made X1 = 1/6, X2 = 1/8, X3 = 1/10, X4 = 1/12

I plugged these values into my equation.

Y = 3(1/6) + 5 (1/8) + 4 (1/10) + 6(1/12) = 2.025

However, in the example that my professor gave me I'm thinking that

X1, X2, X3, and X4 = 3.

Is the answer really Y = 3(3) + 5 (3) + 4(3) + 6(3) = 54
 
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  • #2


The answer for part (a) is 54, as you suspected. Xi is the value of a die, not the probability of getting a particular roll.

Part of your post is unreadable since a bunch of characters in the relevant equations section show up as empty squares.
 
  • #3


Seriously. That's weird I can see them. I'll type them in next time.
Ok awesome. So my hunch was correct.

For part (b) I have to find the expected value. The formula they gave me was Uy= E(y) =
a1 * E(X1) + a2 * E(X2) + ... an * E(Xn).

How would I approach this problem?
 
  • #4


You should know by now how to calculate an expected value of a single random variable. If not, look it up in your textbook. Start there and calculate the expected value for each die.
 
  • #5


Oh ok. I'll do it, and then show you my results.
 
  • #6


Ok so E(X1) = (1+2+3+4+5+6)/6 = 3.5
E(X2) = (1+2+3+4+5+6+7+8)/8 = 4.5
E(X3) = (1+2+3+4+5+6+7+8+9+10)/10 = 5.5
E(X4) = (1+2+3+4+5+6+7+8+9+10+11+12)/12 = 6.5

E(y) = (1)3.5 + (1)4.5 + (1)5.5 + (1)6.5 = 20
 
  • #7


Almost! The coefficients aren't equal to 1, right?
 
  • #8


No, the previous equation was Y = 3 X1+5 X2+4 X3+6 X4.

But in my example, they used one for the coefficients. So I'm confused on that part.
 
  • #9


They said when 2 dices are rolled, and the expected value is

E(y) = 1(3.5) + 1(3.5) = 7
 
  • #10


Unless it's E(y) = 3(3.5) + 5(4.5) + 4(5.5) + 6(6.5) =

or unless my coefficients are 1 through 4, idk my examples aren't very good
 
  • #11


This is how it works: if you have

[tex]Y = a_1 X_1 + a_2 X_2 + \cdots + a_n X_n[/tex]

its expected value is given by

[tex]\begin{align*}
E(Y) & = E(a_1 X_1 + a_2 X_2 + \cdots + a_n X_n) \\
& = a_1 E(X_1) + a_2 E(X_2) + \cdots + a_n E(X_n)
\end{align*}[/tex]
 
  • #12


Then that means the answer is E(y) = 3(3.5) + 5(4.5) + 4(5.5) + 6(6.5) = 94

Y = 3 X1+5 X2+4 X3+6 X4.
 
  • #13


Right!
 
  • #14


Awesome. Thank you for your help!
 

What is a "HELP Sums of Random Variables problem" in statistics?

A HELP Sums of Random Variables problem refers to a statistical problem that involves calculating the sum of multiple random variables. This is a common problem in probability theory and is used to analyze the distribution of sums of random variables.

What are random variables in statistics?

Random variables are numeric values that are generated randomly according to a probability distribution. They can represent different outcomes of an experiment or event, and are used in statistical analysis to understand the likelihood and distribution of these outcomes.

What is the importance of solving HELP Sums of Random Variables problems in statistics?

Solving HELP Sums of Random Variables problems is important in statistics because it allows us to understand the distribution of sums of random variables, which is a key concept in probability theory. This knowledge can be applied in various fields, such as finance, engineering, and biology, to make informed decisions based on probability.

What are some common techniques used to solve HELP Sums of Random Variables problems?

Some common techniques used to solve HELP Sums of Random Variables problems include the convolution method, moment generating function, and characteristic function. These methods involve using mathematical equations and properties to calculate the distribution of the sum of random variables.

What are some real-life applications of HELP Sums of Random Variables problems?

HELP Sums of Random Variables problems have many real-life applications, such as in finance for calculating portfolio risk, in engineering for analyzing signal processing, and in biology for modeling gene expression. They are also used in data analysis and simulation studies to understand the distribution of complex systems.

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