AP Stats Unit 2

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26 Terms

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Two Way Table/Contingency Table

A table of counts describing two categorical variables

<p>A table of counts describing two categorical variables</p>
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Joint Relative frequency

An individual cell frequency divided by the table total

For example: 45/150

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Marginal relative frequency

A proportion describing a category from one variable (one table margin)

Calculated by dividing a column or row total by table total

For example: 70/150

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Side by Side Charts

Allows you to compare the frequencies or relative frequencies of categories between two groups

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Conditional Relative Frequency

A proportion of a subgroup that meets a certain condition

Calculated by dividing an individual cell by a row total or column total

For example: 30/75

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Segmented Bar Charts & Mosaic Plots

  1. Compare proportions or percentages between groups

  2. See how the distribution of one variable changes depending on the other

  3. Identify patterns and differences among categories


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Describing Associations

  1. Make a claim (there is/isn’t an association)

  2. Support by comparing percentages between groups

  3. Include context (mention variables)


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Sample Space

Set of all possible outcomes

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Event

A collection of outcomes

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Probability formula

Probability = # of outcomes in an event/# of total possible outcomes

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Probability

The relative frequency of an out come after many trials

Probabilities are between 01

P(R)+ P(B) = 1

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Law of large numbers

After many trials, the relative frequency of outcomes will approach their probability

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Simulation with replacement

Adding back a possibility.

For example: Picking out a marble and putting it back

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Simulation without replacement

Taking away a possibility.

For example: Picking out a marble and leaving it out

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The probability of an Event Not Happening Equation


(P(E)+P(E^c)=1

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Ven diagrams

Upside Down (U): And

C: Probability of event … not occurring

Upper Case (U): Or

<p>Upside Down (U): And</p><p>C: Probability of event … not occurring</p><p>Upper Case (U): Or</p>
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Mutually Exclusive Events/Disjoint events

When events cannot occur at the same time.

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Condition

A “given” in a problem

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Conditional Probability Formula

Probability that … will occur given that … has already occurred

<p>Probability that … will occur given that … has already occurred</p>
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Multiplication Rule Formula

Before going straight to the formulas, first try solving using you reasoning skills and the Keys to Probability

<p>Before going straight to the formulas, first try solving using you reasoning skills and the Keys to Probability</p>
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Keys to Probability

  1. Draw it first

  2. Divide by givens

  3. Multiply by the ‘ands’

  4. Add the ‘ors’


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Tree Diagrams

Show all possible outcomes of events

Calculate the probability of different outcomes

<p>Show all possible outcomes of events </p><p>Calculate the probability of different outcomes </p>
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Independence

Two events (A&B) are independent if knowing the outcome of one event does not affect the probability of the other event

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Addition Rule Formula

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Associtation

Two variables are related

Association does not mean CAUSATION

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Causation

One variable directly causes a change in another