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## Stats Definition Notes

1 review
by: Kaley Manspeaker

73

3

2

# Stats Definition Notes k300

Kaley Manspeaker
IUPUI
GPA 3.8

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These notes cover what will be on exam 1. These are all the definitions we covered in Lecture 1.
COURSE
Elementary Statistics
PROF.
Curtis Ramsey
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
Statistics
KARMA
Free

## 3

1 review
"The content was detailed, clear, and very well organized. Will definitely be coming back to Kaley for help in class!"
Dessie Romaguera

## Popular in Stats

This 2 page Class Notes was uploaded by Kaley Manspeaker on Wednesday January 27, 2016. The Class Notes belongs to k300 at Indiana University Purdue University - Indianapolis taught by Curtis Ramsey in Spring 2016. Since its upload, it has received 73 views. For similar materials see Elementary Statistics in Stats at Indiana University Purdue University - Indianapolis.

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## Reviews for Stats Definition Notes

The content was detailed, clear, and very well organized. Will definitely be coming back to Kaley for help in class!

-Dessie Romaguera

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Date Created: 01/27/16
Elementary  Statistics   Lecture  1       Definitions:                                 Statistics-­‐  the  sciences  of  conducting  studies  to  collect,  organize,  analyze,  and  draw   conclusions  from  data     • Variable-­‐  A  characteristic  or  attribute  that  can  take  on  different  values     • Population-­‐  All  subjects  to  be  studies     • Sample-­‐  A  group  of  objects  selected  from  the  population     • Descriptive-­‐  Describe     • Qualitative-­‐  Distinct  categories  (good  vs.  bad)     • Quantitative-­‐  those  that  can  be  counted  or  measured     • Discrete  variables-­‐  Assume  values  that  can  be  counted  (50-­‐70  year  olds)     • Continuous  variables-­‐  Infinite  number  of  values  between  any  two  specific   values  (height,  weight,  decimals,  fractions)     Boundaries-­‐  Decrease  the  last  number  and  add  5.    Example:  5.55=  5.545  and  5.555                             Keep  the  same  number  and  add  5.       • Nominal  Level  of  Measurement-­‐  Classifies  data  into  mutually  exclusive   categories,  in  which  no  order  or  rankings  may  be  assigned.  (Zip  code,  eye   color,  nationality)     • Ordinal  Level  of  Measurement-­‐  Data  may  be  ranked,  but  precise   differences  between  ranks  do  not  exist  (grades,  1 ,  2 ,  3  place)   st nd rd   • Interval  Level  of  Measurement-­‐  Ranks  data  and  precise  differences   between  measures  exists,  however  there  are  no  true  zeros  (IQ,  temp,  SAT   scores)     • Ratio  Level  of  Measurement-­‐  Just  like  interval  but  a  true  zero  exists  (height,   weight,  salary,  age)     • Random  Sampling-­‐  A  sample  in  which  all  members  of  the  population  are   equally  likely  to  be  chosen     • Systematic  Sampling-­‐  A  sample  obtained  by  selecting  every  kth  member  of   the  population     • Stratified  Sampling-­‐  Divide  population  into  subgroups  or  strata,  select   subjects  from  each  subject     • Cluster  Sample-­‐  Divide  population  into  sections  of  clusters  and  then  use  all   members  of  that  cluster  in  the  sample     • Convenience  Sampling-­‐  Ask  who  is  convenient     • Sampling  error-­‐  Difference  between  sample  measures  and  the  population   measures     • Non-­‐sampling  error-­‐  Errors  don’t  have  to  do  with  your  sample

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