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Individual
Object described in a set of data ( animals, people, or things)
Variable
Can take different values for different individuals
Categorical variable
Places individuals into a particular group / category
Quantitative variable
Takes number values
Discrete variable
Qv that takes a fixed set of values with gaps
Continuous variable
Qv that can take any value in an interval on the number line
Distribution
Tells us what values the variable takes and how often
Frequency table
Shows # of individuals having each value
Relative frequency table
Shows the proportion/ percent of individuals having each value
Bar graphs
Shows each category as a bar
Pie chart
Shows each category as a slice of a pie
Two -way table
Summarizes data on the relationship b/w 2 categorical variables
Association
Knowing the value of one variable helps predict the value of the other
Dot plot
Shows each data as a dot
Symmetric distribution
Right side of the graph is approximately a mirror of the left side
Skewed to right
Right side of the graph is much longer than the left
Skewed to left
Left side of the graph is much longer than the right side
Describing distribution
C- center
U-unusual features (outliers)
S- shape
S-spread
Mean
Average of the distribution
Medicin
Midpoint of the distribution
Static
Number that describes a sample
Parameter
Number that describes a population
Range
Measure of variability for a distribution
Standard deviation
Describes the distributions variability
Variate
Average of the squared deviations from the mean
IQR
Q3- Q1
Resistance
Median is resistant, mean is not. IQR is resistant, SD and range are not
IQR rule
If an observation is less than Q1-1.5*IQR or greater than Q3+1.5*IQR, it is an outlier
5 number summary
Minimum, Q1, median, Q3, maximum