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Stats 110 Final Exam Detailed Questions And Expert Answers
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Stats 110 Final Exam Detailed Questions And Expert Answers
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Stats 110 Final Exam Detailed Questions AndExpert Answers
Individuals - ANS are the objects described by a set of data.
response - ANS variable that measures an outcome
observational study - ANS "look dont touch"
sample survey - ANS observational studies that survey some group of individuals
by studying only some of its members because they represent the larger group
population - ANS a group of ALL individuals about which we want the information
in a statistical study
sample - ANS SOME of the population from which you collect the information and
is used as conclusions about the whole
experiment - ANS deliberately imposes some treatment on individuals in order to
observe their responses
-to see if a treatment causes change in the response
biased - ANS statistical study that systematically favors certain outcomes
,convenience sampling - ANS selection of whichever individuals are easiest to reach
-biased
voluntary response sample - ANS chooses itself by responding to a general appeal
-write in/call in
-biased
simple random sample - ANS all numbers are mixed up and each has equal chance
to be selected
table of random digits - ANS when numbers are 80% use 0-9
when numbers are 88% use 00-99
parameter - ANS number that describes the population
statistic - ANS number that describes the sample
sample proportion formula - ANS p-hat= x÷n
bias - ANS consistent, repeated deviation of the sample statistic from the
population parameter in the same direction when we take many samples
, variablility - ANS describes how spread out the values of the sample statistic are
when wer take many samples
good sampling has... - ANS Small bias and small variablility
reduce bias - ANS use random sampling to do what
to reduce the variablility - ANS use a larger sample
MoE for 95% confidence≅ 1÷√ⁿ - ANS margin of error is 1 divided by the total
population
95% confidence means - ANS used the sampling method that gives a result this
close to the truth 95% of the time
two parts of a confidence statement - ANS 1. margin of error- how close to the
population parameter
2. level of confidence -what percentage of all possible samples satisfy the margin
of error
confidence statements always apply to - ANS the population not the sample
Sampling errors - ANS errors caused by the act of taking a sample
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