# AP Statistics Vocab Set 4

### 22 terms by Gie23

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used to help study and remember vocab for the AP Stats test

### Trial

A single attempt or realization of a random phenomenon

### Outcome

Value that is measured or reported from a trial

### Sample Space

Collection of all possible outcomes

### Law of Large Numbers

The long run probability will approach its theoretical probability

### Independence

When the probability of one event occurring has no affect on the probability of a second event occurring

### Probability

A number between 0 and 1 that describes the chance of an event occurring

### Disjoint

When two events share no common outcomes

### Mutually Exclusive

When two events share no common outcomes

### Expected Value

The theoretical long-run average value. AKA the mean

### Bernoulli Trials

Have 2 outcomes, probability of a success is constant, trials are independent

### Geometric Probability Model

Counts the number of Bernoulli trials until the first success

### Binomial Probability Model

Counts the number of successes in n trials

### Central Limit Theorem

The sampling distribution model of the sample mean and proportion from a random sample is approximately normal for large n regardless of the distribution of the population as long as observations are independent

### Standard Error

When we estimate the standard deviation of a sampling distribution using statistics found from the data

### Confidence Interval

An interval used for estimating a parameter

### Margin of Error

Tells you the "give or take" from a confidence interval

### Alpha Level

The "threshold" p-value that determines whether we reject a null hypothesis

### Statistically Significant

When the p-value falls below the alpha level

### Significance Level

Another name for alpha level

### Type I Error

Rejecting a null hypothesis when it is true. (Also called a false positive) usually denoted by α

### Type II Error

Failing to reject a null hypothesis when it is falso (Also called a false negative) usually denoted by β

### Power

The probability that a hypothesis test will correctly reject a false null

Example: