5.2 Flashcards

1
Q

What is expected value of a random variable

A

weighted average of the values of the random variable where the weights are the prob(s)
- does not have to be a value the random variable can assume

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2
Q

What is another name for expected value

A

mean

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3
Q

what is the formula for expected value

A

E(x) = M = Sum xf(x)

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4
Q

What is mean a measure of

A

central location for the random variable

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5
Q

What is variance for a random variable

A
  • is a weighted average of the squared deviations of a random variable from its mean
  • the weights are the prob(s)
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6
Q

What is the variance of a random variable a measure of

A

of variability or dispersion

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7
Q

What is X-M

A

= deviation

- measures how far a particular value of the random variable is from the expected value or mean

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8
Q

Var or Qsquared

A

0 the sum of the weighted squared deviations for ALL of the values of the random variable

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9
Q

what is the definition of the Standard deviation?

What units is it measured in?

A

the positive squared root of the variance

- measured in the same units as the random variable

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10
Q

how is the variance measured

A
  • is measured in squared units which makes it more difficult to interpret
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11
Q

What is a bivariate distribution

A
  • a prov distribution involving 2 Random variables
  • uses the relative frequency method
  • often called joint Prob(s)
  • use scatter plots
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12
Q

What are the bivariate outcomes

A

can have 2 values either value 1 or value 2
- ex. roll a 2 dice
we are interested in the relationship between the two dice rolled
(2 random variables)

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13
Q

What is correlation Coefficent

A

How the data is related

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14
Q

What does it mean if you have a Positive Correlation Coefficient

A

if x increases then y will also increase and vice versa

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15
Q

What does it mean if you have a negative Correlation coefficent

A

If x increase then y decreases and vice versa

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16
Q

What does it mean if you have no correlation

A

then it will = o

- increases the other stays the same

17
Q

when talking about Correlation coefficent, does it imply cuasation

A

no, could have an underlying cause affecting each one

18
Q

What is the formula to compute covariance

A

Qxy = [var (x+y) - Var(x) - Var(y)]/2

19
Q

What is the formula for Correlation Coefficent for a population and sample

A

Pxy = Qxy / QxQy

rxy = sxy / sxsy

20
Q

What are the Measures of Association for bivariate prob distribution

A
  1. Covariance

2. Correlation Coefficent

21
Q

FOr Correlation Coefficent values near 1 =?

A

strong positive linear relationship

22
Q

For correlation Coefficent values near -1 =?

A

strong negative linear relationship

23
Q

for correlation coefficent values near 0 =

A

lack of (or close to 0= weak) linear relationship