AP Statistics Chapter 1 Flashcards
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| 7529817897 | Individuals | Objects | 0 | |
| 7529817898 | Variables | Characteristic of an individual | 1 | |
| 7529817899 | Categorical Variable | Places individual into a category | 2 | |
| 7529817900 | Quantitative Variable | Takes numerical values for which it makes sense to find an average | 3 | |
| 7529817901 | Frequency Table | Table of counts |  | 4 |
| 7529817902 | Relative Frequency Table | Displays percents |  | 5 |
| 7529817903 | Bar Graph | - Label axes - Title graph - Scale axes appropriately - Each bar should correspond to the appropriate count - Leave room between bars |  | 6 |
| 7529817905 | Pie Chart | - Include all the categories that make up the whole - Counts will be percentages |  | 7 |
| 7529817906 | Marginal Distribution | Of one of the categorical variables in a two-way table of counts is the distribution of values of that variable among all individuals described by the table | 8 | |
| 7529817907 | Conditional Distribution | Describes the values of that variable among individuals who have a specific value of another variable | 9 | |
| 7529817908 | Shape | Symmetric, skewed | 10 | |
| 7529817910 | Mean | - Most common measure of center - Arithmetic average | 11 | |
| 7529817911 | Median | - Midpoint of a distribution | 12 | |
| 7529817912 | Spread | Range, IQR | 13 | |
| 7529817913 | IQR | The middle 50%, Q3-Q1 | 14 | |
| 7529817914 | IQR Equation | Q3 - Q1 | 15 | |
| 7529817915 | Outlier Equation (1.5X1QR Rule) | Less than Q1 - 1.5IQR Higher than Q3 + 1.5IQR | 16 | |
| 7529817916 | Dotplot | - Only need to properly label horizontal axis - Title - Each dot represents a count of 1 - Works well with a small data set |  | 17 |
| 7529817917 | Stemplot | - Separate each piece of data into a "stem" and a "lead" - Write the stems vertically in increasing order from top to bottom - Write the leaves in increasing order out from the stem - Be very neat and leave the same amount of space between leaves - Title the graph - Include a key identifying what the stem and leaves represent - Works well with a small data set | 18 | |
| 7529817918 | Histogram | - Most common graph of a quantitative variable - The x-axis is continuous, no gaps between bars - Title the graph - Divide the range of data into classes of equal width - Label and scale the axes | 19 | |
| 7529817919 | Five-Number Summary | Minimum, Q1, Median, Q3, Maximum | 20 | |
| 7529817920 | Boxplot | - Drawn from Q1 to Q3 - Line in the middle marks the median - Lines extend from the box to the smallest and largest observations that aren't outliers |  | 21 |
| 7529817921 | Standard Deviation | - Find the distance of each observation from the mean - Square each of these distances - Average the distances by dividing their sum by n-1 - Take the square roon | 22 | |
| 7529817923 | When describing the overall pattern of a distribution, you must address... | - Center - Shape - Spread - Outliers | 23 | |
| 7529817929 | Symmetric |  | 24 | |
| 7529817930 | Skewed Right |  | 25 | |
| 7529817931 | Skewed Left |  | 26 | |
| 7529817933 | Segmented Bar Graph |  | 27 | |
| 7529817934 | Two-Way Table |  | 28 | |
| 7529817935 | Back-to-Back Stemplot |  | 29 | |
| 7529817937 | Is the mean sensitive to outliers? | The mean is sensitive to outliers, not resistant | 30 | |
| 7529817938 | If a distribution is skewed, use this measure of center | Median | 31 | |
| 7529817939 | Is the median sensitive to outliers? | The median is not sensitive to outliers, is resistant | 32 | |
| 7529817940 | If a distribution is exactly symmetric, the median and mean will be | Exactly the same | 33 | |
| 7529817941 | If the distribution is skewed left, the mean will | Fall to the left | 34 | |
| 7529817942 | If the distribution is skewed right, the mean will | Fall to the right | 35 | |
| 7529851057 | unimodal | one peak | 36 | |
| 7529851803 | bimodal | two peaks | 37 | |
| 7529852738 | split-stem plot | stem plot where stem is further divided ex. 0-4 and 5-9 | 38 | |
| 7529856738 | Outliers | extreme values | 39 | |
| 7529858364 | Center | mean or median of distribution | 40 | |
| 7529860235 | Range | max-min (single value) | 41 | |
| 7529869575 | parallel boxplots | used to compare boxplots | 42 | |
| 7529871274 | variance | spread, range, variability | 43 | |
| 7529872104 | quartiles | each of four equal groups into which a population can be divided according to the distribution of values of a particular variable. | 44 | |
| 7529873129 | Association | correlation between two variables | 45 | |
| 7529874568 | side-by-side bar graph |  | 46 | |
| 7529879211 | Ogive | A cumulative frequency graph |  | 47 |
| 7529880564 | percentiles | measure indicating the value below which a given percentage of observations in a group of observations fall | 48 | |
| 7529882073 | distribution | SOCS | 49 |