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QMB EXAM 1
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Name: Score:108 Multiple choice questions
Definition 1 of 108
show counts of data in categories
bar charts or pie charts
variance
histograms
clustered bar charts
Definition 2 of 108
if we are asked to determine how many possible outcomes there are for a few things that happen
in a row
combination formulas
counting rules
continuous
counting formulas
Definition 3 of 108
summarize two variables across one anothere where at least one is categorical
two types of random variables
continuous random variables
data tables
pivot tables
,Definition 4 of 108
countable outcomes that arent just yes and no
ex: how many textbooks are in a backpack (0,1,2,3...)
non-binomial rvs
binomial rvs
poisson rvs
combination formulas
Term 5 of 108
variance
list of all possible outcomes
correlation
square of the standard deviation
standard error of the mean
Definition 6 of 108
data gathered at a single point in time
ex: student is aked their age, gpa, and major
cross-sectional data
graphs of categorical data
quantitative data
time series data
,Definition 7 of 108
an actual count of how often a data value shows up
ex: 25 stuents in class that scored 4
frequency: 25
frequency
probability
correlation
amplitude
Definition 8 of 108
tells us the percent of data values below it
median
percentile
parameter
mean
Term 9 of 108
covariance sucks vecause it is
discrete random variables
continuous random variables
classical probability
empirical probability
subjective probability
boundless
from negative infinity to positive infinity
correlation
, Definition 10 of 108
outcomes that take on finite or countable
negative rv
binomial rv
continuous rv
discrete rv
Definition 11 of 108
ratio
interval
discrete
continuous
time series data
classical probability
four types of quantitative data
2 main areas of statistics
Term 12 of 108
probability
a bunch of yes or no outcomes
ex:did a student pass their test or no (1,0)
bound between 0 and 1
must sum to 1
much derives from experiments
ex:flipping a coin
measures the direction and strength of the linear relationship between x and y
measures direction and strength of the linear relationship between x and y
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