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i shart ed
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Descriptive Stats
the methods of organizing & summarizing data
Inferential Stats
involves generalizing from a sample to a population
Variable
any characteristic whose value may change from one individual to another
Data
The values for a variable from individual observations
Categorical Data
Qualitative, describes attributes or Qualities: Would not make sense to average
Numerical Data
things you could average
Discrete
isolated points, things you count
Continuous
Values in an interval, things you measure.
Bivariate Data
2 variables
Multivariate Data
3 or more variables
Categorical Graphs
Bar chart and pie chart, double bar, stacked bar, mosaic
Numerical Graphs:
Histograms, boxplots(next chapter), dotplots, stemplots
Frequency
How often something happens
Relative Frequency
Converting frequency into a percent/proportion
Percentile
Percent of data at or below a given value
How to describe numerical data distributions
C (center) Mean, Median
U (Unusual) Outliers, Gaps, Bimodal
S (Shape) Skewed, Symmetrical, Uniform
S (Spread) Range, IQR, Standard deviation, Variance (only Range this chapter)
B-(Be)
S- (Specific)
Comparative Descriptions
Must use comparative language (more, less, etc)
Cumulative Relative Frequency Graphs (Ogives)
used to answer questions about percentiles.