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Data collection ppt @ bec doms

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Babasab Patil
Babasab Patil

This document discusses key concepts in data collection and statistics. It defines populations and samples, and distinguishes between descriptive and inferential statistics. Descriptive statistics collect and summarize data, while inferential statistics draw conclusions about populations from samples. The document reviews sampling techniques like simple random sampling and stratified sampling. It also covers data types, sources, measurement levels and survey design.

Tecnologia
1 de 25
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

  • 2.
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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
  • 11.
  • 12. Sampling Techniques Convenience Samples Non-Probability Samples Judgement Probability Samples Simple Random Systematic Stratified Cluster
  • 13.
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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.