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Instructions for Side by Side Printing
  1. Print the notecards
  2. Fold each page in half along the solid vertical line
  3. Cut out the notecards by cutting along each horizontal dotted line
  4. Optional: Glue, tape or staple the ends of each notecard together
  1. Verify Front of pages is selected for Viewing and print the front of the notecards
  2. Select Back of pages for Viewing and print the back of the notecards
    NOTE: Since the back of the pages are printed in reverse order (last page is printed first), keep the pages in the same order as they were after Step 1. Also, be sure to feed the pages in the same direction as you did in Step 1.
  3. Cut out the notecards by cutting along each horizontal and vertical dotted line
To print: Ctrl+PPrint as a list

9 notecards = 3 pages (4 cards per page)

Viewing:

AP Stats Unit 5

front 1

Probability Distribution

back 1

A function that assigns probabilities to each possible outcome of a random variable. (It helps to make a table)

front 2

Random Variable

back 2

A variable whose value is a numerical outcome of a random phenomenon.

front 3

Expected value (mean)

back 3

The average value of a random variable, calculated by multiplying each outcome by its probability and summing the results.

front 4

Geometric Distribution

back 4

A discrete probability distribution describing the number of trials needed to get the first success in a sequence of independent trials.

front 5

Binomial Distribution

back 5

A discrete probability distribution describing the number of successes in a sequence of independent trials, each with the same probability of success.

front 6

Central Limit Theorem

back 6

A theorem stating that the sampling distribution of the sample mean will be approximately normal, regardless of the population distribution, as long as the sample size is sufficiently large.

front 7

Complement of an Event

back 7

the set of all outcomes not defined as successful outcomes for any event

front 8

Conditional probability

back 8

the probability of an event occurring if it is known that another specific event has already occured.

front 9

Mutually Exclusive events

back 9

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