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Stat 200 Exam 1 Questions And Answers Latest Update $16.49   Add to cart

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Stat 200 Exam 1 Questions And Answers Latest Update

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Stat 200 Exam 1 Questions And Answers Latest Update

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  • October 24, 2024
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  • 2024/2025
  • Exam (elaborations)
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Solution 2024/2025
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Stat 200 Exam 1 Questions And Answers Latest
Update

Statisitcs ANS✔✔ The science of collecting, describing, and analyzing data



Dataset ANS✔✔ where data is stored and presented



Cases ANS✔✔ are the subjects or objects that we obtain information about



Variables ANS✔✔ are any characteristic that is recorded for each case. The
values of variables can vary from one case to the next.



Categorial ANS✔✔ divides the cases into groups



Quantitative ANS✔✔ measures a numerical quantity for each case



Explanatory variable ANS✔✔ Comes first (control)



Response variable ANS✔✔ measures an outcome of a study. Explained by
the explanatory variable



Population ANS✔✔ includes ALL individuals or objects of interest



Sample ANS✔✔ all of the cases that we collected data on

, Solution 2024/2025
Pepper



Sampling bias ANS✔✔ Sample differs from population



Random Sample ANS✔✔ 1) helps avoid sampling bias

2) can be trusted to make generalizations back to the population



Simple Random Sampling (SRS) ANS✔✔ Where each unit of the population
has the SAME CHANCE of being selected.



Association ANS✔✔ Two variables are associated if values of one variable
tend to be related to values of the other.



Association with Causation ANS✔✔ Two variables are CAUSALLY
ASSOCIATED if changing the value of one variable influences the value of
the other variable.



Confounding Variables ANS✔✔ - A third variable that is associated with both
the explanatory and response variable.

(VARIABLE Z causes X and Y to change)

- ** When confounding variables are present, a causal association CANNOT
be determined.



Observational Study ANS✔✔ A study in which the researcher does not
actively control the value of any variable

* Observational studies can almost never be used to establish causality.

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