Week 4: Short cut to find expected value, variance, standard deviation, geometric model, binomial model

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10 Terms

1
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What happens to expected value and variance if you add a constant (C)?

E[X ± C] = E[X] ± C

  • old E[X] ± constant

Var[X ± C] = Var[X]

  • variance remains unchanged

<p>E[X <span>±</span> C] = E[X] <span>± C</span></p><ul><li><p>old E[X]&nbsp;<span>± constant</span></p></li></ul><p><span>Var[X&nbsp;± C] = Var[X]</span></p><ul><li><p>variance remains unchanged</p></li></ul><p></p>
2
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What happens to expected value and variance if you add the possibilities of x to y?

E[X ± Y] = E[X] ± E[Y]

Var[X ± Y] = Var[X] + Var[Y]

  • the variance of x is always added to the variance of y even if they’re subtracted!

  • can only add the variance of x & y if independent!

<p>E[X&nbsp;± Y] = E[X]&nbsp;± E[Y]</p><p>Var[X&nbsp;± Y] = Var[X] + Var[Y]</p><ul><li><p>the variance of x is always added to the variance of y even if they’re subtracted!</p></li><li><p>can only add the variance of x &amp; y if independent!</p></li></ul><p></p>
3
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What happens to expected value and variance if you multiply by a constant (a)?

E[aX] = aE[X]

Var[aX] = a² Var[X]

<p>E[aX] = aE[X]</p><p>Var[aX] = a² Var[X]</p>
4
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What are the 2 simple models?

  1. Geometric

  2. Binomial

5
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What is a geometric model formula?

How many trials will it take until we get our first success?

p = probability of success

q = 1 - p (probability of failure)

x = # of trials until first success occurs

<p>How many trials will it take until we get our first success?</p><p>p = probability of success</p><p>q = 1 - p (probability of failure)</p><p>x = # of trials until first success occurs</p>
6
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What is the expected value, variance, and standard deviation for geometric models?

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7
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What is the binomial model formula?

How many successes out of a number of trials?

x = # of successes

p = probability of success per trial

q = 1 - p (probability of failure)

n = number of trials

<p>How many successes out of a number of trials?</p><p>x = # of successes</p><p>p = probability of success per trial</p><p>q = 1 - p (probability of failure)</p><p>n = number of trials</p>
8
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What is the expected value, variance, and standard deviation for binomial models?

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9
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What are factorials?

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10
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What is the coefficient for variation?

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