1/29
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No study sessions yet.
statistics
the science + art of collecting, analyzing, + drawing conclusions from data
variable
characteristics that can take different values for different individuals
individual
object or person that makes up a study’s sample
categorical variable
values are labels that place individuals into groups/categories (can be numerical)
quantitative variable
values are numbers that are quantities you count or measure (take average)
distribution
what value a variable takes and how often
frequency / frequency table
number of individuals in a specific value (table shows this
relative frequency / relative frequency table
relative frequency: proportion or % of individuals having each value in relation to the whole group (table shows this)
bar graph
shows each category as a bar; heights of bars show category or relative frequency; used with categorical data
pie chart
shows each category as a slice of “pie”; areas of the slices are proportional to relative frequency
side-by-side bar graph
displays the distribution of one categorical variable in each of 2+ groups; compares variable in categories and % is used when samples are not equal
discrete random variable
countable set of possible values with gaps between numbers (ex: shoe size)
continuous random variable
measurable or takes any value over an interval (ex: GPA)
dot plot
shows each value as a dot above a location on a number line
skewed distribution
goes Towards the Tail
uniform distribution
frequency of all data is about the same
stem plot
stem: all digits but the last in a number
leaf: only the right-most digit ordered least → greatest
histogram
shows each interval as an equal-width bar; used with quantitative data
median
middle number in a data set AFTER being ordered least → greatest
odd number of data: middle number (ex: 1, 2, 3, 7, 10 med: 3)
even number of data: middle 2 numbers averaged (1, 2, 4, 6, 7 10 med: 5)
mean
average of all numbers; taken by adding all numbers and dividing by number of numbers (ex: 1+3+5+5+2+8 / 6 mean: 6)
population
all individuals a astudy could affect
parameter
number about population
sample
selected group from population being studied
statistic
number about sample
resistant
not easily influenced or changed
range
interval where data falls; highest # - lowest number
quartile 1 (Q1) / quartile 3 (Q3) / interquartile range (IQR)
Q1: separates bottom 25% from upper 75%; middle of bottom half of data
Q3: separates top 25% from lower 75%; middle of upper half of data
IQR: Q3 - Q1; range of middle 50% of data
five number summary
minimum, Q1, IQR, Q3, maximum
standard deviation
typical distance of values in a distribution from the mean; measures variability in symmetric data w/ mean as a measure of center
box plot (aka box and whisker plot)
visual representation of the five number summary above a number line