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by: Rachel Pina

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# Exam 2 Study Guide

Marketplace > University of Arizona > > Exam 2 Study Guide
Rachel Pina
UA

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This study guide is focused on the concepts behind the test topics.
COURSE
Math 263 (BioStatistics)
PROF.
TYPE
Study Guide
PAGES
2
WORDS
CONCEPTS
Statistics
KARMA
50 ?

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This 2 page Study Guide was uploaded by Rachel Pina on Saturday October 8, 2016. The Study Guide belongs to at University of Arizona taught by in Fall 2016. Since its upload, it has received 35 views.

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Date Created: 10/08/16
Study Guide BioStats Exam #2 1.   Define a lurking variable 2.   Define Extrapolation 3.    A study found that there is a strong correlation owning more pets and a lower number of heart  problems. Can you conclude that owning more pets causes a decrease in heart problems? 4.   What is the difference between a sample and a population  5.   What is the difference between an observational study and an experiment? 6.   What is a simple random sample? What is a stratified random sample?  7 .       9 A B 32 41 18              A) What is the probability of A U B B) What is the probability on  B 8. What are disjoint variables? What are independent variables? 9. Difference between discrete and continuous variables 10. Define sampling error Answers 1.  A variable that is not included as an explanatory or response variable in the analysis but can affect the  interpretation of relationships between variables.  2. Predicting outside of the data set 3. No. Correlation does not imply causation… there could be other lurking variables 4. A sample is the actual people or things in the study and the population is the over all group that your  sample is representing. 5. An observational study does not have a treatment while an experiment does 6. A simple random sample is where each subject is randomly assigned a number and then numbers are  randomly chosen to assign how each subject will participate in the experiment if they participate at all.  A stratified random sample is similar to a simple random sample but the subjects are assigned to  different groups in the experiment. 7.  A. 0.91        B. 0.41       8. Disjoint variables cannot occur at the same time (They would not have a middle section of a venn  diagram and would have a zero probability for “and” questions). Independent variables mean that the  probability of one variable does not affect the probability of the other. 9. Continuous variables can have any value between two specified variables. Discrete variables cannot.  10.  Error in a statistical analysis arising from the unrepresentativeness of the sample taken

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