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by: Shane Marks

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# INTR STATISTCL REASONING STAT 110

Shane Marks

GPA 3.93

B. Habing

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COURSE
PROF.
B. Habing
TYPE
Class Notes
PAGES
3
WORDS
KARMA
25 ?

## Popular in Statistics

This 3 page Class Notes was uploaded by Shane Marks on Monday October 26, 2015. The Class Notes belongs to STAT 110 at University of South Carolina - Columbia taught by B. Habing in Fall. Since its upload, it has received 6 views. For similar materials see /class/229662/stat-110-university-of-south-carolina-columbia in Statistics at University of South Carolina - Columbia.

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Date Created: 10/26/15
STAT 110 Chapter 5 Definitions An experiment deliberately imposes some treatment on individuals in order to observe their responses The purpose of an experiment is to study whether the treatment causes a change in response subjects 7 individuals studied in an experiment treatment 7 any speci c experimental condition applied to the subjects response variable 7 a variable that measures an outcome or result of a study explanatory variable 7 a variable that we think explains or causes changes in the response variables lurking variable 7 a variable that has an important effect on the relationship among the variables in a study but is not one of the explanatory variables studied confounding 7 two variables are confounded when their effects on a response variable cannot be distinguished from each other 9 confounded variables can be either explanatory or lurking placebo 7 a dummy treatment with no active ingredients that is used to control for psychological effects especially in medical experiments placebo effect 7 the response of patients to a placebo statistical significance 7 an observed effect so large that it would rarely occur by chance STAT 110 Chapter 2 Definitions biased 7 systematically favors certain outcomes convenience sampling 7 selection of whichever individuals are easiest to reach voluntary response sample 7 chooses itself by responding to a general appeal simple random sample of size n 7 consists of 71 individuals from the population chosen in such a way that every set of 71 individuals has an equal chance to be the sample actually selected Choosing a simple random sample l assign a numerical label to every individual in the population be sure each label is the same length if using a random digit table 2 use software or a table to select labels at random

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