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Statistics - Exam 1
| Question | Answer |
|---|---|
| complete collection of people, objects, scores, etc. to studied | population |
| process of getting information from each element of the population | census |
| any sub collection of data drawn from a population | sample |
| any characteristic of the elements of the population | variable |
| tells what values a variable has and how often those values occur | distribution |
| value measuring some characteristic of a population | parameter |
| value measuring some characteristic of a sample | statistic |
| value that splits an ordered data set into 2 halves | median |
| value that is far away from the rest of the data set | outlier |
| average squared deviations from the elements to the mean | variance |
| splits data set into 4 equal groups | quartile |
| graph displaying the relationship between 2 variables | scatter plot |
| value that measures the strength and direction of a linear relationship between 2 quantitative variables | correlation coefficient |
| making predictions with values that are outside the range of x variables | extrapolation |
| 3 phases of statistics | gather data, analyze data, make inferences |
| 2 characteristics of a good sample | variety, size |
| reasons to take a sample | saves time, saves money, destructive measures |
| midrange formula | max + min / 2 |
| variance of a sample symbol | s² |
| standard deviation symbol | s |
| variance formula | s²= n(Σx²)-(Σx)²/n(n-1) |
| standard deviation equals the square root of the _____________ | variance |
| slope symbol | b1, a (on calc) |
| correlation coeffiecient of a sample symbol | r |
| variance of a population symbol | σ² |
| y intercept symbol | b0, b (on calc) |
| regression equation | y(with a hat)= b1 * x + b0 |
| standard deviation symbol (on calc) | Sx |
| You can get variance by multipling standard deviance (Sx) by ____________ | itself |
| variance answers are always ___________ | squared |
| number of classes symbol | k |
| population mean symbol | µ |
| what does a 5 # summary consist of? | min, Q1, Q2 (median), Q3, max |
| correlation coefficient formula | n * Σxy - Σx * Σy r= --------------------------------- sqr(n*Σx²-(Σx)²)*sqr(n*Σy²-(Σy)²) |
| slope formula | n * Σxy - Σx * Σy b1= --------------------- n * Σx² - (Σx)² |
| y intercept formula | b0 = (mean of y) - b1 * (mean of x) |
Created by:
K1N1V
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