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Stats 250 Exam 1 Study Guide

by: Debra Tee

Stats 250 Exam 1 Study Guide STATS 250

Marketplace > University of Michigan > Statistics > STATS 250 > Stats 250 Exam 1 Study Guide
Debra Tee
GPA 3.85

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About this Document

Here's a Study Guide I prepared after working through some past exams. These include some important key words, definitions, common mistakes and concepts that are vital to doing well in exam 1. All ...
Thomas Venable Jr
Study Guide
key, words, definitions, common, mistakes
50 ?




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This 4 page Study Guide was uploaded by Debra Tee on Saturday October 8, 2016. The Study Guide belongs to STATS 250 at University of Michigan taught by Thomas Venable Jr in Fall. Since its upload, it has received 10 views. For similar materials see /class/231658/stats-250-university-of-michigan in Statistics at University of Michigan.

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Date Created: 10/08/16
Stats  250  Study  Review  for  Exam  1       After  I  finished  working  on  Past  exams  from  Fall  2006  all  the  way  to  Spring   2013,  these  are  some  of  the  important  key  words,  definitions  and  concepts   I  think  are  vital  to  doing  well  in  Exam  1.       Important  key  words  and  Definitions:     Experiment:  subjects  are  randomly  divided  into  groups.     Control  group:  subjects  who  received  no  treatment.     Response  variable:  variable  used  to  measure  results  you  are  looking  for  in   the  study.     Histogram  -­>  Cannot  be  used  to  describe  shape  of  distribution.       Population  parameter  -­>  any  description  that  represents  entire  population.     95%  Confidence  level:  With  repeated  sampling,  we  can  say  with  95%   confidence  that  the  population  mean  falls  within  the  resulting  confidence   intervals  95%  of  the  time,  on  average.       Interpreting  the  Confidence  Level:   Definition  of  95%  Confidence  Level:  If  the  sampling  procedure  were   repeated  many  times,  then  approximately  95%  of  the  resulting  confidence   intervals  would  contain  the  population  proportion  of  xxx…     Important  concept:  When  Confidence  level  increases,  width  of  confidence   interval  increases.       IQR  =  Q3  –  Q1     Common  Mistakes:   1.  Can  we  say  that  95%  of  the  time  the  population  proportion  p  will  be  in   the  confidence  interval  for  ?????  NO,  either  p  is  in  the  particular  interval   or  it  is  not!       Stuff  you  should  know!!:     -­   Quantitative  vs  Categorical  variables   -­   Explanatory  vs  observational  variables     -­   Different  types  of  bias   -­   How  to  choose  the  sample  size  of  a  survey  –  Use  Conservative   Margin  of  Error  –  remember  to  round  up  to  the  next  largest  integer   -­   Confounding/  Lurking  variable   -­   p-­value   -­   alpha   -­   beta   -­   Sample  statistic  vs  population  parameter   -­   How  to  decide  to  reject/fail  to  reject  H0   -­   How  to  read  p-­values  from  the  table  in  the  yellow  formula  sheet   -­   Median  and  mean  -­>  How  distribution  looks  like  with  different   medians  and  means  -­>  what  kind  of  skews   -­   Know  the  exact  definitions  and  relevant  variations  for  99%   Confidence  Level  +  Interval  +  p-­value   -­   Probability  rules  -­>  you  definitely  want  to  know  when  to  use  which   formulas  –  Page  1  of  yellow  formula  sheet.         Tips:     Understand  how  to  use  and  where  to  find  formulas  in  your  yellow  formula   sheet.  You  will  only  be  using  page  1  and  2  and  the  normal  table  in  Exam  1.     Remember,  with  small  sample  size  (np<10),  you  will  need  to  use  the   binomial  distribution.     Understand  all  the  different  Q1,  Q2  Q3  percentiles   -­>  this  is  the  section   where  they  twist  words  to  make  questions  tricky.       Practice,  practice  practice!  Do  past  year  exams  without  answers  and  check   your  solutions  to  test  yourself  -­>  Be  sure  to  be  careful  when  grading   yourself.  Stats  250  requires  you  to  be  very  careful  with  wordings.   Sometimes,  you  might  think  that  your  answer  and  the  answer  key   looks   similar  and  probably  means  the  same  thing,  but  you  might  still  lose  points   for  inaccuracy.  When  in  doubt,  check  with  your  professor  or  GSI  to  confirm   your  answers  and  ensure  you  are  not  missing  any  key  words.       Good  luck  everyone!  May  the  force  be  with  you   J    


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