QTM: Probability Distribution and Normal Distribution

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35 Terms

1

Should it surprise you if the actual outcome of a potential random variable problem is slightly below or under the probability you calculated?

No— there is natural variability

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2

Random variable

Random process with numerical outcome

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3

Expected value

Sum of X*P(X)

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4

Expected value can also be known as

Mean

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5

How to find proportion of certain bin in continuous distribution (histogram)

See count divide by total sample size

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6

Probability density function

Smooth curve over bars on histogram

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7

total area under a curve in density distribution

1

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8

Two types of random variables

Discrete and continuous

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9

Probability distribution in the real world shows you

Your chances of winning

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10

Columns for probability distribution

x, p(x), x*p(x), x²*p(x)

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11

When you have money you should always round

Up

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12

Variability

Difference in value of random variable (how much variation is expected)

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13

Why do you need to find variability?

To find standard deviation

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14

Formula for variability (to get ______)

SD*2= sum of x²*p(x)-(x*p(x))²

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15

Fair game

costs as much as payout so expected profit =0

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16

How do you prove a game is fair?

Sum of X*p(x) =0

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17

Normal distribution

Most variable are normally distributed aka uni-modal and bell shaped

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18

Two ways to prove symmetry

  1. Mean= median=mode

  2. Peason’s index

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19

Pearson’s Index

I=[3(mean-median)]/SD

*must be between -1 and 1

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20

What does z score tell you

How far away you are from the mean

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21

Why do you need z score?

Standardize data to compare

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22

Percentile

Percentage of data below specific data point

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23

How do you round percentile?

Always round up

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24

Gold standard for z-score

Mean =0

SD = 1

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25

Z score formula

Z= (given-average)/SD

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26

How to use z-score

Find z score then look at chart for probability and percentile

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27

unusual vs outlier stats wth z score

|z|>2 = unusual

|z|>3= outlier

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28

Empirical Rule

68-95-99.7

1 SD-2 SD- 3 SD

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29

Area under curve

Probability

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30

How do you get right side of a Norma distribution

Subtract from 1

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31

How to look at normal distribution graph

Left to right (DO NOT START FROM MEAN)

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32

How do you find cutoff?

  1. Give you probability => look for closest z score (NUMBER IN PROBLEM IS NOT Z SCORE)

  2. Plug into equation (x or given should be blank)

  3. Solve algebra

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33

Upper vs lower limit questions normal distribution

Will be 2 SD away BECAUSE otherwise they are outliers and we do not plot outlier (only use 3 SD if it says to include outliers)

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34

How to write up normal distribution with parameters

N (mean =0, SD =1)

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35

How to compare z scores

Higher |z| score = unusual

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