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Data Collection
Chapter Goals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Tools of Business Statistics
Descriptive Statistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Sources Primary Data Collection Secondary Data Compilation Observation Experimentation Survey Print or Electronic
Survey Design Steps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Survey Design Steps ,[object Object],[object Object],[object Object],[object Object],[object Object],(continued)
Types of Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Populations and Samples
Population vs. Sample a  b  c d  ef  gh i  jk l  m  n o  p q  rs  t  u v  w x  y  z Population Sample b  c  g i  n o  r  u y
Why Sample? ,[object Object],[object Object],[object Object]
Sampling Techniques Convenience Samples Non-Probability Samples Judgement Probability Samples Simple  Random Systematic Stratified Cluster
Statistical Sampling ,[object Object],Probability Samples Simple  Random Systematic Stratified Cluster
Simple Random Samples ,[object Object],[object Object],[object Object]
Stratified Samples ,[object Object],[object Object],[object Object],Population Divided into 4 strata Sample
[object Object],[object Object],[object Object],[object Object],Systematic Samples N = 64 n = 8 k = 8 First Group
Cluster Samples ,[object Object],[object Object],[object Object],Population divided into 16 clusters. Randomly selected clusters for sample
Key Definitions ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Inferential Statistics
Inferential Statistics ,[object Object],[object Object],[object Object],[object Object],Drawing conclusions and/or making decisions concerning a  population   based on  sample  results.
Data Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data Qualitative (Categorical) Quantitative  (Numerical) Discrete Continuous
Data Types ,[object Object],[object Object],[object Object],[object Object]
Data Types Time Series Data Cross Section Data Sales (in $1000’s) 2003 2004 2005 2006 Atlanta 435 460 475 490 Boston 320 345 375 395 Cleveland 405 390 410 395 Denver 260 270 285 280
Data Measurement Levels Ratio/Interval Data Ordinal Data Nominal Data Highest Level Complete Analysis Higher Level Mid-level Analysis Lowest Level Basic Analysis Categorical Codes ID Numbers  Category Names Rankings  Ordered Categories Measurements
Chapter Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Data collection ppt @ bec doms

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  • 5. Data Sources Primary Data Collection Secondary Data Compilation Observation Experimentation Survey Print or Electronic
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  • 10. Population vs. Sample a b c d ef gh i jk l m n o p q rs t u v w x y z Population Sample b c g i n o r u y
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  • 12. Sampling Techniques Convenience Samples Non-Probability Samples Judgement Probability Samples Simple Random Systematic Stratified Cluster
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  • 23. Data Types Time Series Data Cross Section Data Sales (in $1000’s) 2003 2004 2005 2006 Atlanta 435 460 475 490 Boston 320 345 375 395 Cleveland 405 390 410 395 Denver 260 270 285 280
  • 24. Data Measurement Levels Ratio/Interval Data Ordinal Data Nominal Data Highest Level Complete Analysis Higher Level Mid-level Analysis Lowest Level Basic Analysis Categorical Codes ID Numbers Category Names Rankings Ordered Categories Measurements
  • 25.