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Stats 1430 Exam 1 OSU Written With Accurate Answers Pass Guaranteed

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Observational Study - correct answers -observe, don't get involved -measures variables and makes conclusions -does not influence results -most common type: survey Experiment - correct answers -imposes some treatment on individuals -observes responses -sizable difference due to treatment Bias - correct answers systematic favoritism during sampling process or data collection process How to select a good sample - correct answers - random sample - each group of same size has same chance of being selected - no favortism Simple Random Sample - correct answers - sampling the entire population Stratified Random Sample - correct answers - Making different subgroups then randomly sampling out of each one Biased Sample: Convenience - correct answers choose individuals in the easiest way; this won't represent any population Biased Sample: Volunteer (AKA self selected) - correct answers a call goes out and people enter study on their own Biased Sample: Undercoverage - correct answers a subgroup of the population is excluded from the very beginning How to have a good survey - correct answers - select and good sample - design a survey that avoids bias - implement your survey to avoid bias - analyze data properly Design: Question Wording - correct answers The wording of a survey can affect results; make it as unbiased as possible Design: Type of Survey - correct answers The type of survey can affect results Implementation: Timing - correct answers The timing of a survey can affect results Implementation: Non Response - correct answers -an individual is selected to be in the sample but doesn't respond to survey -They don't have same opinions as those who respond -can skew results Implementation: Response Bias - correct answers An individual responds to the sample but gives incorrect data

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Stats 1430 Exam 1 OSU Written With
Accurate Answers Pass Guaranteed

Observational Study - correct answers -observe, don't get involved

-measures variables and makes conclusions

-does not influence results

-most common type: survey



Experiment - correct answers -imposes some treatment on individuals

-observes responses

-sizable difference due to treatment



Bias - correct answers systematic favoritism during sampling process or data collection process



How to select a good sample - correct answers - random sample

- each group of same size has same chance of being selected

- no favortism



Simple Random Sample - correct answers - sampling the entire population



Stratified Random Sample - correct answers - Making different subgroups then randomly sampling out
of each one



Biased Sample: Convenience - correct answers choose individuals in the easiest way; this won't
represent any population



Biased Sample: Volunteer (AKA self selected) - correct answers a call goes out and people enter study on
their own

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Institution
OSU.
Course
OSU.

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