Discrete Random Variables Flashcards

1
Q

What is a discret random variable and what is a probability distribution

What must the probabilities on the distribution add to

A

This is a variable for which a KNOWN list of numerical values can be taken, so X can take 1,2,3 etc

If they all have an associated probability of X taking that value, it can be modelled in a probability distribution

The probabilities must add to 1

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2
Q

What is E (X) and Var(X) and how to calculate

A

E(x) can be though as the LONG TERM average score of results, so the mean
= sum of XP

Var (x) is the variance in data

= E (x2) - ( Ex)2

Where e (x2) is the sum of X2P

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3
Q

How to find standard deviation?

A

Sqaure root var x

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4
Q

How to use E(x) and Var(x) to compare two data sets?

A

Comment on the means, showing overall increased etc

Common on the variance, data more spread less spread, so consistent or not etc

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5
Q

Why is the variance formula = to E((X-U))2

How to make this formula alternate form?
(What’s the expected value of a CONSTANG)

A

Variance is difference of mean and x value, sqaure it, sum it and divide by total (find mean)

Now E(x) is the mean basically, thus saying E( x -u) 2 gives the VARIANCE

2) expand the inside bracket
- expected value of a CONSTANT like mew = constant
- expected value of x remember is the mean = mew

Rearrange

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6
Q

How to find e( aX + b) and why

What about var (ax b)

What about standard deviation?

A

1) = a E(x) +b
- because mean is multiplied and added

2) a2 E(x)
- because standard deviation, the spread, becomes more spread by factor of a, so variance becomes spread by fsctor a2

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7
Q

What’s going on when we do E(X+Y) what’s happening

A

We are adding two separate probability distributions up and finding out their probability distribution overall’s expected value

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8
Q

Rules for E(X+-Y)
Why

A

E(x+-y)= E(x) +- E(y)

Thinking about out, the means are gonna add or subtract accordingly

Can prove by putting it as E(x) + E(-y) and using e(ax) = -E(x)

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9
Q

Rules for VAR (X+-Y)

Why

A

VAR (X+-Y) = VAr (x) +var (y)

Why? Well no matter if they are adding or subtracted the spread of data is getting more

Again prove as var (ax) = a2 var(x), and here it will become negative 1 sqaured so they always add

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10
Q

REMEMBER WHATS THE RULE FOR DOING ANY VAR(X+-Y)

A

THEY MUST BE INDEPENDENT

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11
Q

So if 10 independent same trials of one thing that had var 2 happened, what is new var

So if he repeated 10 times, you know they independent

A

New var is 20!

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12
Q

Remember steps to do any question

A

1) define each variable
2) write down final function
3) now find each thing individually , don’t MESS UP

Finally do combination equation

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13
Q

Importsnt thing when combining variables what never to do!

A

Say it’s var (x +x ) NEVER COMBINE TI MAKE VAR (2X), as this would become 4 var x when it should be 2 var x as they are independent

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