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Categorical Variables
Place individuals into specific groups
Quantitative Variables
Takes on numerical values for which it makes sense to do arithmetic operations like adding and averaging. Fall into 2 categories: discrete & continuous
University Data
When conducting a study that looks at only 1 variable
Bivariate Data
When a study examines the relationship between 2 variables
Median
A simple measure of central tendency: to find, arrange observations smallest → largest: Odd # = middle number, Even # = average of 2 mid values
Mean
The average score: sum of individual scores divided by # of individuals
Standard Deviation
A numerical value used to indicate how widely individuals in a group vary: if individual observations vary greatly from the group mean, standard deviation is big, vice versa
standard deviation for a population = o
Standard deviation for a sample = s
Population
The total set of observations that can be made
Set
A well defined collection of objects
Sample
A set of observations drawn from a population
Symmetry
Used to describe the shape of data distribution: symmetric if it can be divided at the center and each half can mirror, a non symmetric distribution cannot
Unimodal distribution
Distributions with a clear peak
Bimodal distribution
Distributions with 2 peaks
Skewness
Fewer observations/higher values in the right = skewed right
Fewer observations/lower values on the left = skewed left
Uniform distribution
Refers to a probability distribution for which all of the values that a random variable can take on occur with equal probability
ex: a dice has 1/6 chance for each side, it has uniform distribution
in graphing: has no peaks: values in a set of data are equally spread across the range of the dataset
Gaps in Graphs
A graphic display where there are no distributions
Outlier
A data point that diverges greatly from the overall pattern of data
Dotplot
A type of graphic display used to compare frequency counts within categories or groups: made up of dots
Histogram
A graph made up of columns plotted on a graph: x axis equals a continuous: quantitative variable. Y - axis equals the size of the group defined by axis
Bar Charts vs. Histograms
Bar Chart: x - axis represents a categorical variable
Histogram: x-axis represents a quantitative variable - can be a single value or range
Stemplot
Used to display quantities data, generally small datasets
Boxplot
A type of graphic display used used to display patterns of quantitive data: splits dataset into quartiles
Quartiles
Divide a rank ordered dataset into 4 equal parts
Percentiles
Assuming a dataset rank ordered from smallest to largest: values that divide a rank ordered set of elements into 100 equal parts
Range
A simple measure of variation in a set of random variables
Range = Maximum value - Min value
Inrerquartile Range
A measure of variability based on dividing a dataset into quartiles
Interquartile range = Q3 - Q1
Parallel Boxplots
Data from 2 distributions are displayed on the same chart, with the same measurement scale
Parameter
A measurable characteristic of a population: such as a mean, proportion, or a standard deviation
A numerical value that describes a characteristic of a population
P = parameter = population
Proportion
Refers to the fraction of the total that possesses a certain attribute
Statistic
A numerical value that describes a characteristic of a sample
s = statistic = sample