ap stats study guides

โœŒ๏ธย  Unit 2 - Exploring Two-Variable Data

โš–๏ธย  Unit 6 - Inference for Categorical Data: Proportions

๐Ÿ˜ผย  Unit 7 - Inference for Qualitative Data: Means

โœณ๏ธย  Unit 8 Inference for Categorical Data: Chi-Square

๐Ÿ“ˆย  Unit 9 - Inference for Quantitative Data: Slopes

๐Ÿงย  Multiple Choice Questions (MCQs)

4.3 Introduction to Probability

#anticipatingpatterns

#exploringdata

โฑ๏ธย ย 1 min read

written by

kanya shah

aly moosa


The main concepts you need to grasp from this section are the basics of probability and the complement rule. Make sure you understand these key ideas ๐Ÿ”!

A probability model is a description of some chance process that is made up of two portions: a list of all possible outcomes and the probability for each outcome. The list of all possible outcomes is called a sample space.

๐Ÿ“Basic Probability Rulesย 

  1. If all outcomes in a sample space are equally likely, the probability that event A occurs is...

    1. P(A) = number of outcomes in event A/ total number of outcomes in the sample space.

  2. The probability of any event is a number between 0 and 1 (proportion).

  3. All possible outcomes MUST add up to 1.ย 

  4. The probability that an event does not occur is 1 minus the probability that it does occur. In other words, this refers to the complement rule which says that P(AC) = 1- P(A) where P(AC) is the complement of event A or the probability that event A doesnโ€™t occur. (*Understand how to solve problems using this rule given a scenario mentioning โ€œat least one.โ€)

Be sure to know how to interpret the probability you calculate. Remember to use context.

๐ŸŽฅWatch: AP Stats - Probability Rules and Random Variables

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