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Stat 214 Study Guide

by: Angeleana Notetaker

Stat 214 Study Guide Stat 214

Angeleana Notetaker
University of Louisiana at Lafayette
GPA 2.4

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Note: This study guide is meant for Stat 214 and will cover some, not all sections in chapters 1-3. It would be essential for you to still study the book or any other form of notes or lecture that ...
Stat 214
Blaise Heider
Study Guide
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This 3 page Study Guide was uploaded by Angeleana Notetaker on Thursday September 8, 2016. The Study Guide belongs to Stat 214 at University of Louisiana at Lafayette taught by Blaise Heider in Fall 2016. Since its upload, it has received 17 views. For similar materials see Stat 214 in Statistics at University of Louisiana at Lafayette.

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Date Created: 09/08/16
Statistics 214 Section 003 Study Guide Exam 1 Two Types of Variables 1. Qualitative Variable: classify individuals into categories  Ordinal: categories have a natural order  Nominal: categories have no natural ordering 2. Quantitative Variable: tells how much or how many of something  there is  Discrete: variables whose values can be listed. Ex. Age, # of  siblings  Continuous: variables whose values can take on any value  within an interval. Ex. Miles driven to school every day,  height Design of Experimental Units  Experimental Units: individuals that are studied  Outcome/Response: what is measured on each experimental unit  Treatments: procedures applied to each experimental unit Two Types of Studies 1. Randomized Experiment: a study in which the investigator designs the experiment units at random 2. Observational Study: one in which the assignment to the treatment  groups is not made by the investigator  Confounder: a variable that is related to both the treatment and the  outcome Two Types of Observational Studies 1. Cohart Studies  Prospective: subjects are followed over time  Cross­sectional: measurements are taken at one point and  time  Retrospective: subjects are sampled after the outcome has  occurred 2. Case Control  Bias in Studies 1. Unbiased: a study conducted by a procedure that produces the  correct results on average. 2. Biased: A study conducted by a procedure that produces an  overestimate or underestimate of the true value. Identify Sources of Bias (Pg 27) 1. Voluntary Response Bias 2. Self Interest Bias 3. Social Acceptability Bias 4. Leading Question Bias 5. Nonresponse Bias 6. Sampling Bias Graphical Summaries for Qualitative Data 1. Frequency: the number of times it occurs in the data set 2. Frequency Distribution: table that presents the frequency for each  category 3. Relative Frequency: the frequency of a category divided by the  sum of all the frequencies 4. Bar Graph: graphical representation of a frequency distribution or  relative frequency distribution where rectangles of equal width  with one rectangle for each category and the height of each  rectangle represents the frequency or relative frequency of each  category. 5. Pareto Chart: bar graph in which the data would go from biggest to smallest. Graphical Summaries for Quantitative Data  For Quantitative Data we divide data into classes which are  intervals of equal width that cover all values that are observed in a  data set.  The lower class limit of a class is the smallest number that can  appear in that class.  The upper class limit of a class is the largest number that can  appear in that class.  The class width is the difference between consecutive lower class  limits. Measures of Speed 1. Variance: the measure of how far the values in a data set are from  the mean on average. 2. Standard Deviation: the distance of values from mean on average.


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