AP Statistics Chapter 1 Review

Shows the number of individuals having each value.

Shows the proportion (percent) of individuals having each value within a table.

Shows each category as a bar. The heights of the bars show the category counts or relative frequencies (percent).

Shows each category as a slice of the “pie.” The areas of the slices are proportional to the category percentages. MUST ADD UP TO 100%, this might include adding an “other” category.

A table of counts that summarize data on the relationship between two categorical variables for some group of individuals.

Gives the percent/proportion of individuals that have a specific value for one categorical variable. Percent on the outside

EX: 13/33 = 39.4%; think of another one.

Gives the percent/proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable. Percent’s in the middle of the table (not on the outsides) out of the whole.

Gives the percent/proportion of individuals that have a specific value for one categorical variable among individuals who share the same value of another categorical variable. Percent’s down a column/row

Displays the distribution of two categorical variables. The bars are grouped together based on the values of one of the categorical variables and placed side by side. Just a split up segmented bar graph.

Displays the distribution of a categorical variable as segments of a rectangle, with the area of each segment proportional to the percent of individuals the corresponding category.

relative frequencies (percentages)

There is an association between two variables if knowing the value of one variables helps predict the value of another variable. If this is not the case, then there is no association between two variables.

LABELS, KEYS, maybe titles.

An attribute that can take different values for different individuals.

Assigns labels that place each individuals into a particular group.

Takes number values that are quantities-counts or measurements.

Tells us what values the variable takes and how often it takes those values.

EX: The distribution of the amount of carpets and the amount of cats someone has is roughly symmetric with a mean of 20 and a standard deviation of 3. The distribution varies from 10-50 with 1 unusual outlier at the 50 mark.

A quantitative variable that takes a fixed set of possible values without gaps between them. (EX: result of a rolling dice)

A quantitative variable that can take any value in an interval on the number line. (EX: Age, height, weight).

Shows each data value as a dot above its location on a number line.

Shape: ROUGHLY/SLIGHTY Symmetric, skewed right/left, PEAKS (Bimodal, Unimodal, Multimodal)
Center: What is the middle of the distribution?
Variability: Goes from what to what? EX: Range is 80 units/varies from 110-190
Outliers: Are there any unusual features (suspected outlier)?

quantitative variable.

A statistical measure is resistant if it is not sensitive to extreme values. The measure resists extreme values.

Mean is used for symmetric while median is used for skewed.

mean

median

Median and IQR

Mean and Standard Deviation