AP Stats 1.3, 2.1, 2.2 Vocab
TERM | DEFINITION |
Bar Graph | A data visualization tool that compares data across different categories or groups. It uses bars to present numeric values for levels of data categories, which can extend horizontally or vertically. |
Pie Chart | A pie chart is a circular statistical graphic which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice is proportional to the quantity it represents. |
Two-way Table | A table that summarizes data on the relationship between two categorical variables for some group of individuals. |
Marginal Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable. |
Joint Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable. |
Conditional Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable among individuals who share the same value of another categorical variable (the condition). |
Conditional Distribution | |
Side-by-side bar graph | |
Segmented bar graph | |
Mosaic plot | |
Association | Knowing the value of one variable helps us predict the value of the other. |
No association | Knowing the value of one variable does not help us predict the value of the other. |
TERMS | DEFINITION |
Dotplot | |
Symmetric | |
Skewed right | Right side of the graph is much longer than the left side. |
Skewed left | Left side of the graph is much longer than the right side. |
Unimodal | Single peak |
Bimodal | Two distinct clusters and peaks |
Approximately symmetric | One peak, and the left and right sides are about the same (think of a hill). |
Uniform | Frequencies are about the same for all values. |
Stemplot | |
Histogram | Shows each interval of values as a bar. The heights of the bars show the frequencies or relative frequencies of values in each interval. |
Unit 1.3
TERMS | DEFINITIONS |
Mean | The average of all the individual values. |
Statistic | A number that describes some characteristic of a sample. |
Parameter | A number that describes some characteristic of a population. |
Resistant | When a statistical measure isnβt resistant to extreme values. |
Median | The number that is in the middle of the distribution. |
Range | Maximum - minimum |
Standard deviation | The typical value distance of the values in a distribution from the mean. |
Sample variance | |
Sample Standard Deviation | |
Quartiles | Divisions in the distribution. |
1st Quartile | The median of the values that are left of the actual median. |
3rd Quartile | The median of the values that are right of the actual median. |
Interquartile Range (IQR) | Q3 - Q1 = IQR |
Outlier | Formulas: Low outliers: Q1 - 1.5 x (Q3-Q1) High outliers: Q3 + 1.5 x (Q3-Q1) |
5 number summary | Minimum, Q1, Median, Q3, Maximum |
Boxplot |
Percentile (pth) | The value with p% of observations less than or equal to it. |
Cumulative Relative Frequency Graph | A point corresponding to the percentile of a given value in a distribution of quantitative data. Consecutive points are then connected with a line segment to form the graph. |
Standardized score (z-score) IMPORTANT TO KNOW | z=value - meanstandard deviation or z=x- |
TERMS | DEFINITIONS |
Density Curve | |
Mean of a Density Curve | The point at which the curve would balance if made of solid material. |
Median of a Density Curve | The equal-areas point, or the point that divides the area under the curve in half. Skewed right - (mean > median) mean is closer to tail. |
Normal distribution | Symmetric density curves, single-peaked, bell-shaped |
Normal Curve | Same thing as Normal distribution |
Empirical Rule | (68-95-99.7) 68% - 1 standard deviation of the mean. 95% - 2 standard deviations of the mean. 99.7% - 3 standard deviations of the mean. |
Standard Normal Distribution | Normal distribution with mean 0 and standard deviation 1. |
TERM | DEFINITION |
Bar Graph | A data visualization tool that compares data across different categories or groups. It uses bars to present numeric values for levels of data categories, which can extend horizontally or vertically. |
Pie Chart | A pie chart is a circular statistical graphic which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice is proportional to the quantity it represents. |
Two-way Table | A table that summarizes data on the relationship between two categorical variables for some group of individuals. |
Marginal Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable. |
Joint Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable. |
Conditional Relative Frequency | The percent or proportion of individuals that have a specific value for one categorical variable among individuals who share the same value of another categorical variable (the condition). |
Conditional Distribution | |
Side-by-side bar graph | |
Segmented bar graph | |
Mosaic plot | |
Association | Knowing the value of one variable helps us predict the value of the other. |
No association | Knowing the value of one variable does not help us predict the value of the other. |
TERMS | DEFINITION |
Dotplot | |
Symmetric | |
Skewed right | Right side of the graph is much longer than the left side. |
Skewed left | Left side of the graph is much longer than the right side. |
Unimodal | Single peak |
Bimodal | Two distinct clusters and peaks |
Approximately symmetric | One peak, and the left and right sides are about the same (think of a hill). |
Uniform | Frequencies are about the same for all values. |
Stemplot | |
Histogram | Shows each interval of values as a bar. The heights of the bars show the frequencies or relative frequencies of values in each interval. |
Unit 1.3
TERMS | DEFINITIONS |
Mean | The average of all the individual values. |
Statistic | A number that describes some characteristic of a sample. |
Parameter | A number that describes some characteristic of a population. |
Resistant | When a statistical measure isnβt resistant to extreme values. |
Median | The number that is in the middle of the distribution. |
Range | Maximum - minimum |
Standard deviation | The typical value distance of the values in a distribution from the mean. |
Sample variance | |
Sample Standard Deviation | |
Quartiles | Divisions in the distribution. |
1st Quartile | The median of the values that are left of the actual median. |
3rd Quartile | The median of the values that are right of the actual median. |
Interquartile Range (IQR) | Q3 - Q1 = IQR |
Outlier | Formulas: Low outliers: Q1 - 1.5 x (Q3-Q1) High outliers: Q3 + 1.5 x (Q3-Q1) |
5 number summary | Minimum, Q1, Median, Q3, Maximum |
Boxplot |
Percentile (pth) | The value with p% of observations less than or equal to it. |
Cumulative Relative Frequency Graph | A point corresponding to the percentile of a given value in a distribution of quantitative data. Consecutive points are then connected with a line segment to form the graph. |
Standardized score (z-score) IMPORTANT TO KNOW | z=value - meanstandard deviation or z=x- |
TERMS | DEFINITIONS |
Density Curve | |
Mean of a Density Curve | The point at which the curve would balance if made of solid material. |
Median of a Density Curve | The equal-areas point, or the point that divides the area under the curve in half. Skewed right - (mean > median) mean is closer to tail. |
Normal distribution | Symmetric density curves, single-peaked, bell-shaped |
Normal Curve | Same thing as Normal distribution |
Empirical Rule | (68-95-99.7) 68% - 1 standard deviation of the mean. 95% - 2 standard deviations of the mean. 99.7% - 3 standard deviations of the mean. |
Standard Normal Distribution | Normal distribution with mean 0 and standard deviation 1. |