Term
|
Definition
| Collection, organization, sumarization, and presentation of data |
|
|
Term
|
Definition
| Group within a population |
|
|
Term
|
Definition
| generalizing from samples to populations performing estimations and hypothesis tests, determining relationships among variables |
|
|
Term
|
Definition
| assume values that can be counted (people, puppies, etc.) |
|
|
Term
|
Definition
| Assume infinite number of values between any two specific values (measurements, weights, temp) |
|
|
Term
| Boundaries/Class Boundaries |
|
Definition
| if a value is "14" it means "a value between 13.5 and 14.5", same for class boundaries |
|
|
Term
|
Definition
| just pick random people from a population |
|
|
Term
|
Definition
| Picking like every 7th or 19th or 100000th or whatever^th |
|
|
Term
|
Definition
| Random sampling within certain strata (ie gender, education level, location) |
|
|
Term
|
Definition
| Picking one strata from a population and sampling all of the members of that strata. |
|
|
Term
|
Definition
| organization of raw data using CLASSES and FREQUENCIES |
|
|
Term
|
Definition
must be exhaustive
Must be equal in width
Must be continuous
Must be mutually exclusive
Preferably class width is odd |
|
|
Term
| Class limit-boundary relationship |
|
Definition
| if a limit is 1.856- 3.856 then the boundaries are 1.8555-3.8565 |
|
|
Term
|
Definition
| Bar graph, bars touch, class boundaries along the x axis |
|
|
Term
|
Definition
| class midpoint on the x-axis, frequency on y-axis, line graph |
|
|
Term
|
Definition
| Class boundaries on x-axis, cumulative frequency on y-axis |
|
|
Term
|
Definition
| Average- all values in sample divided by number of values |
|
|
Term
|
Definition
| If all you get is a frequency chart, find the midpoint of each class, multiply the frequency of each class by the midpoint, and divide that by the number of values |
|
|
Term
|
Definition
| Value in middle. If there are an even number of values, average those two |
|
|
Term
|
Definition
| Value that occurs most often |
|
|
Term
|
Definition
| Class on a frequency chart that has the most values |
|
|
Term
|
Definition
| lowest value plus highest value divided by two |
|
|
Term
|
Definition
| Shown as "R", = highest value-lowest value |
|
|
Term
|
Definition
| The proportion of values from a data set that will fall "k" standard deviations from the mean will be at least 1-1/k^2 where K is greater than one |
|
|
Term
|
Definition
| Probability that B will happen, given A happening |
|
|
Term
| Discrete probability distribution |
|
Definition
| Consists of the values a random variable can assume and the corresponding probabilities of the values. |
|
|
Term
|
Definition
Fixed number of trials
Only two outcomes each
Independent outcomes
Probability of success must remain same for all outcomes |
|
|
Term
|
Definition
| Probability of success in a binomial experiment |
|
|
Term
|
Definition
|
|
Term
|
Definition
| Numerical probability of failure |
|
|
Term
| Standard Normal distribution |
|
Definition
Mean of zero
Standard Deviation of one |
|
|
Term
|
Definition
| As sample size, n, approaches infinity the distribution curve will approach normal. |
|
|
