AP Statistics Chapter 3 Flashcards
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| 7965507584 | Distribution | The distribution of a quantitative variable slices up all the possible values of the variable into equal width bins and gives the number of values falling into each bin | 0 | |
| 7965520129 | Histogram | A histogram uses adjacent bars to show the distribution of a quantitative variable. Each bar represents the frequency of values falling in. | 1 | |
| 7965528864 | Gap | A region of the distribution where there are no values | 2 | |
| 7965537238 | Stem-and-leaf display | A Stem and leaf display shows quantitative data values in a way that sketches the distribution of the data | 3 | |
| 7965557480 | Dotplot | a dotplot graphs a dot for each case against a single axis | 4 | |
| 7965562025 | Shape | To describe a distribution look for: -single v. multiple modes -symmetry v. skewness -outliers and gaps | 5 | |
| 7965573963 | Center | The measures of center are mean and median | 6 | |
| 7965597561 | Spread | A numerical summary of how tightly the values are clustered around the center. Measure of spread include the IQR and standard deviation. | 7 | |
| 7965606534 | Mode | A hump or local high point in the shape of a distribution of a variable. The apparent location of modes can change as the scale of a histogram is changed. | 8 | |
| 7965622659 | Unimodal (Bimodal) | Having one mode. Bi: two modes Multi: many modes | 9 | |
| 7965633462 | Uniform | A distribution that is roughly flat is said to be uniform. | 10 | |
| 7965682002 | Symmetric | A distribution is symmetric if the two halves on either side of the center look approximately like mirror images of eachother. | 11 | |
| 7976773885 | Tails | The tails of a distribution are the parts that typically trail off on either side. | 12 | |
| 7976780347 | Skewed | A distribution is skewed if it's not symmetric and one tail stretches out farther than the other. Skewed left and right. | 13 | |
| 7976796741 | Outliers | Outliers are extreme values that don't appear to belong with the rest of the data. | 14 | |
| 7976806058 | Median | The median is the middle value, with half of the data above it and half below it. If n is even, it is the average of the two middle values. It is usually paired with IQR. | 15 | |
| 7976820276 | Range | The difference between the lowest and highest values in a data set. | 16 | |
| 7976825361 | Quartile | The lower quartile is the value with a quarter of the data below it. The upper quartile is the value with 3/4 of the data below it. | 17 | |
| 7976839498 | Interquartile Range | IQR. The difference between Q1 and Q2 | 18 | |
| 7976863449 | 5-number Summary | min Q1 median Q3 Max | 19 | |
| 7976867484 | Boxplot | A boxplot displays the 5-number summary as a central box. | 20 | |
| 7976875150 | Mean | Mean is found by summing all the data points and dividing by the count | 21 |