STA2023 Exam 1 Modules 1-16
QUESTIONS AND VERIFIED S
GRADED A+ [LATEST] 100%
GUARANTEED PASS
design - plan how to obtain the data
description - summarize the data with graphs and numerical summaries
inference - use data from a random and representative sample to draw conclusions about the
population of interest
What are the two basic types of statistical inference? - confidence intervals and significance
tests
subjects - persons, animals, or objects in our study/experiment
variables - characteristics that we measure on each subject
population - all subjects of interest
, sample - subject for whom we have data
random sampling - each member of the population has the same chance of being included in
the sample
parameters - numerical summary of the population (p=p)
statistics - numerical summary of the sample (s=s)
categorical variables - place each observation into groups and they are usually summarized by
the percentage of observations in each group (ex. hair color)
quantitative variables - take on numerical values, must be able to get an average that makes
sense, includes center (average) and spread (variability)
What are the two types of quantitative variables? - discrete (finite possible values) and
continuous (infinite possible values)
bell-shape curve - unimodal (mean=median)
uniform or rectangular - everything is equally likely to occur ex. rolling a dice (mean=median)
bimodal - two peaks ex female and male heights
skewed left - tail goes to the left (mean<median)
skewed right - tail goes to the right (mean>median)
QUESTIONS AND VERIFIED S
GRADED A+ [LATEST] 100%
GUARANTEED PASS
design - plan how to obtain the data
description - summarize the data with graphs and numerical summaries
inference - use data from a random and representative sample to draw conclusions about the
population of interest
What are the two basic types of statistical inference? - confidence intervals and significance
tests
subjects - persons, animals, or objects in our study/experiment
variables - characteristics that we measure on each subject
population - all subjects of interest
, sample - subject for whom we have data
random sampling - each member of the population has the same chance of being included in
the sample
parameters - numerical summary of the population (p=p)
statistics - numerical summary of the sample (s=s)
categorical variables - place each observation into groups and they are usually summarized by
the percentage of observations in each group (ex. hair color)
quantitative variables - take on numerical values, must be able to get an average that makes
sense, includes center (average) and spread (variability)
What are the two types of quantitative variables? - discrete (finite possible values) and
continuous (infinite possible values)
bell-shape curve - unimodal (mean=median)
uniform or rectangular - everything is equally likely to occur ex. rolling a dice (mean=median)
bimodal - two peaks ex female and male heights
skewed left - tail goes to the left (mean<median)
skewed right - tail goes to the right (mean>median)
