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individual
something being described by a set of data
population
entire group of individuals we want to draw conclusions about
sample
subset of the population that we collect information from (should be an accurate representation
n
sample size
census
an attempt to collect information from every single individual in a population
parameter
a number that describes some characteristic of a population
statistic
a number that describes some characteristic of a sample
variable
a characteristic that can take different values for different individuals
distribution
tells us what values the variable takes and how often it takes those values
Categorical variable
a variable that groups individuals together into similar categories
Quantitative Variable
a variable that is a quantitative number (makes sense to take an average)
Discrete variable
a quantitative variable that takes a fixed set of possible values; result of counting
Continuous variable
a quantitative variable that can take any value on a number line; usually a result of measuring (time is always continuous)
Frequency
how often something occurs as a counted number
relative frequency
how often something occurs as a percentage
p
used when you are describing the true proportion (PARAMETER)
p̂
used when you are describing a sample proportion (STATISTIC)
Pictograph
when a bar chart uses a picture instead of a bar (distorts the sense of scale)
Dotplot
shows each data value as a dot above its location on a number line
Histogram
shows each interval of values as a bar
Stemplots
unique way of showing data using only numbers
CUSS
Center (peaks), Unusual Features (potential outliers/gaps), Shape, and Spread (how wide the data is)
Mean
the arithmetic average of all individual values
Median
the middle value
Mode
Most often occurring value
Range
maximum-minimum
μ
true mean of population (parameter)
x̄
mean of sample (statistic)
standard deviation
deviation the “typical distance” from the mean
σ
true standard deviation of the population (parameter)
Sₓ
Standard deviation of a sample (statistic)
Getting 1-Var StatisticsI from Calculator
Stat —> Edit
Enter Data in List 1
Stat —> Calc —> 1-Var Stats
keep FreqList blank
Creating Historgrams in Calculator
Stat —> Edit
Enter data in List 1
2nd + y = (stat plot)
Plot 1
On
Type: Histogram
Zoom —> ZoomStat
Resistance
measures howeasily a statistic changes due to extreme values (skew/outliers)
Low resistance
mean and S.D.
High resistance
median and IQR
Rules for Symmetric Shape
Comparison: Median=Mean
Use the mean and S.D. to describe
Rules for Skewed Left Shape
Comparison: Mean<Median
use the median and IQR to describe
Rules for Skewed Right Shape
Comparison: Median<Mean
Use the median and IQR to describe
Quartiles
roughly divide a dataset into four equally-sized parts
First quartile
median of first half of all values
Second Quartile
Separates lower half of data from the upper half
Third quartile
Median of the upper half of all values
Five Number Summary
Min, Q₁, Median, Q₃, Max
IQR (InterQuartile Range)
the width of the middle 50% of our data; Q₃ - Q₁
How to find Low Outliers
< Q₁ - 1.5x IQR
How to find High Outliers
> Q₃ + 1.5 x IQR
Boxplots
a graph that easily shows both Quartiles and Outliers