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if p-value <= 0.05
statistically significant
retrospective study
examines existing data
prospective study
follows individuals over time
population
(N) the entire group of individuals
sample
(n) info from a subset of population
types of variables
categorical/quantitative
categorical variables
nominal (unordered), ordinal (ordered), binary (2 categories)
quantitative variables
discrete (countable #), continuous (continuum #)
a valid statistical investigative question has what key parts?
proportion and populationp
parameters
values from the population
statistics
values from the sample
observational unit
a single member within the sample
frequency
exact count of a value
relative frequency
count expressed in fractions of the total
does categorical data have shape?
no
area principle
area occupied by a part of the graph should correspond to the magnitude of the value
types of graph to represent categorical data
bar graph, pie chart, mosaic plots
types of graphs to represent quantitative data
stem plots, histogram, dotplots
describing distribution
Context Shape Outliers Center Spread (CSOCS)
what causes graphs to be misleading
pictographs, vertical axis not starting at 0
types of shapes
symmetric, skewed left, skewed right, uniform
mean is roughly equal to the median
symmetricme
mean is equal to median
uniformme
mean is greater than the median
skewed right
mean is less than the median
skewed left
standard deviation
the average distance of values from the mean
is mean greatly affected by outliers?
yes
outliers
values that lie extremely far from other values
how to find outliers
above/below TWO standard deviations
1.5 x IQR of the Q1 and Q3 values
can you see clusters in a boxplot?
no
standardized/z-score
how many standard deviations away from the mean a data value falls
precentile
describes the location of a data value in a distribution