| 12972337129 | probability model | describes the possible outcomes of a chance process and the likelihood that the outcomes will occur | | 0 |
| 12972337130 | random variable | takes the numerical values that describe the outcome of some chance process | | 1 |
| 12972337131 | discrete random variable | takes a fixed set of possible values with gaps between; listing out all possible outcomes for a random variable and assign probabilities to each one | | 2 |
| 12972337132 | mean (expected value) of a discrete random variable | multiple each value by its probability, then add all the products |  | 3 |
| 12972337133 | variance of a discrete random variable | σ²=∑(xi-µx)²×P(xi) |  | 4 |
| 12972337134 | continuous random variable | takes on all the values in an interval of numbers; described as a density curve; infinitely many possible outcomes; | | 5 |
| 12972337135 | Add (a) to center and location
Does not change the shape or measure of spread | What happens when adding or subtracting a constant (a) from an observation? | | 6 |
| 12972337136 | Multiplies (or divides) center and location by b
Multiplies (or divides) spread by abs value of b
Does not change the shape | What happens when multiplying or dividing a constant (b) from an observation? | | 7 |
| 12972337137 | mean of the sum of random variables | the mean of the sum of several random variables is the sum of the variables' means |  | 8 |
| 12972337138 | variance of the sum of random variables | the variance of the sum of several random variables is the sum of the variables' variances |  | 9 |
| 12972337139 | independent | You can add variances only if the events are _________. | | 10 |
| 12972337140 | Standard deviations | You can never add ______. | | 11 |
| 12972337141 | binomial setting | --several independent trials of the same chance process
--and record the number of times that a particular outcome occurs | | 12 |
| 12972337142 | Binary: possible outcomes of each trial can be labeled success or failure
Independent: trials must be independent
Number: fixed number of trials
Success: same probability of success on each trial | BINS??? | | 13 |
| 12972337143 | binomial coefficient | all the possible arrangements of k successes among n trials | | 14 |
| 12972337148 | mean of binomial random variable | |  | 15 |
| 12972337149 | standard deviation of binomial random variable | |  | 16 |
| 12972337144 | 10% Condition | When sampling without replacement the population size must be at least ten times the sample size. | | 17 |
| 12972337145 | geometric setting | --we perform independent trials of the same chance process
--we record the number of trials it takes to get 1 success | | 18 |
| 12972337147 | 10 | the expected number of successes and failures are both at at least _______. | | 19 |
