The science and art of collecting, analyzing, and drawing conclusions from data
Statistics
Shows each category as a bar. The heights of the bars show the category frequencies or relative frequencies
Bar Chart
Shows each data value as a dot above its location on a number line
Stem and leaf plot
Shows each interval as a bar. The heights of the bars show frequencies or relative frequencies of values in each interval.
Histogram
A person, animal, or thing described in a data set
Individual
The number of times a specific value, number, or event occurs in a dataset
Frequency
A distribution where the right side of the graph is an approximate mirror image of the left
Roughly Symmetric
Consists of all but the final digits in a stem and leaf plot
Stem
Describe the shape of the distribution.
Skewed to the right
Any attribute that can take different values for different individuals
Variable
Shows each category as a "slice" of the pie. The areas of the slices are proportional to the category relative frequencies
Pie Chart
A distribution where the left side of the graph is much longer than the right side
Skewed to the Left
Explains in context what the stems and leaves represent
Key
Describe the Variability.
Takes values that are labels, which place each individual into a particular group, called a category
Categorical Variable
the ratio or fraction of times a specific value or event occurs compared to the total number of observations or trials in a dataset
Relative Freqeuncy
A value that falls outside the overall pattern
Outlier
Represents the final digit of each data value
Leaf
In which interval is the center?
40-60
The _____ of a variable tells us what values the variable takes and how often it takes these values
Distribution
Which of the following is a categorical variable?
Height, Eye Color, Temperature
Eye Color
The range of values in a distribution
Variability
Takes number values that are quantities, counts, or measurments
Quantitative Variable
Who/what is my individual in the following histogram?
Black Cherry Trees