Busy. Please wait.
Log in with Clever

show password
Forgot Password?

Don't have an account?  Sign up 
Sign up using Clever

Username is available taken
show password

Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.
Your email address is only used to allow you to reset your password. See our Privacy Policy and Terms of Service.

Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
Didn't know it?
click below
Knew it?
click below
Don't Know
Remaining cards (0)
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

  Normal Size     Small Size show me how

ap stats chapter 6

chapter 6 OP STAT TERMS

probability the chances of something to occur in all possible subjective options and ways it can, doesnt neccesarily gaurantee much.
random process generates outcomes that are determined purely by chance.
probability generates outcomes that are determined purely by chance.
law of large numbers says that if we observe more and more trials of any random process, the proportion of times that a specific outcome occurs approaches its probability.
simulation imitates a random process in such a way that simulated outcomes are consistent with real-world outcomes.
event is any collection of outcomes from some random process.
complement rule says that 𝑃(A𝐶)=1−𝑃(A, where A𝐶 is the complement of event A; that is, the event that A does not occur.
Venn diagram consists of one or more circles surrounded by a rectangle. Each circle represents an event. The region inside the rectangle represents the sample space of the random process.
Conditional probability The probability that one event happens given that another event is known to have happened is called a conditional probability. The conditional probability that event A happens given that event B has happened is denoted by 𝑃(A|B).
independent events if knowing whether or not one event has occurred does not change the probability that the other event will happen.
General multiplication rule For any random process, the probability that events A and B both occur can be found using the general multiplication rule: P ( A and B) = P ( A n B) = P(a)x p(b/a)
tree diagram shows the sample space of a random process involving multiple stages. The probability of each outcome is shown on the corresponding branch of the tree. All probabilities after the first stage are conditional probabilities.
random variable takes numerical values that describe the outcomes of a random process.
probability distribution of a random variable gives its possible values and their probabilities.
discrete random variable X takes a fixed set of possible values with gaps between them.
mean (expected value) of a discrete random variable is its average value over many, many trials of the same random process.
standard deviation of a discrete random variable measures how much the values of the variable typically vary from the mean in many, many trials of the random process.
continuous random variable can take any value in an interval on the number line.
Independent random variables two random variables are independent if knowing the value of one variable does not change the probability distribution of the other variable.
Binomial random variable, The count of successes X in a binomial setting is a binomial random variable. The possible values of X are 0, 1, 2, …, n.
Binomial distribution The probability distribution of X is a binomial distribution. Any binomial distribution is completely specified by two numbers: the number of trials n of the random process and the probability p of success on each trial.
Binomial coefficient The number of ways to arrange x successes among n trials
10% condition When taking a random sample of size n from a population of size N, we can treat individual observations as independent when performing calculations as long as n<.10 N
Large Counts condition says that the probability distribution of X is approximately Normal if 𝑛 𝑝 ≥ 10 and 𝑛 ( 1−𝑝 ) ≥10 That is, the expected numbers (counts) of successes and failures are both at least 10.
Created by: user-1829539
Popular Math sets




Use these flashcards to help memorize information. Look at the large card and try to recall what is on the other side. Then click the card to flip it. If you knew the answer, click the green Know box. Otherwise, click the red Don't know box.

When you've placed seven or more cards in the Don't know box, click "retry" to try those cards again.

If you've accidentally put the card in the wrong box, just click on the card to take it out of the box.

You can also use your keyboard to move the cards as follows:

If you are logged in to your account, this website will remember which cards you know and don't know so that they are in the same box the next time you log in.

When you need a break, try one of the other activities listed below the flashcards like Matching, Snowman, or Hungry Bug. Although it may feel like you're playing a game, your brain is still making more connections with the information to help you out.

To see how well you know the information, try the Quiz or Test activity.

Pass complete!
"Know" box contains:
Time elapsed:
restart all cards