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Statistics for Management Lesson 1 Introduction and Data Collection
Lesson Topics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1. Statistical Thinking and Management Three Aspects of Quality Improvement Management Philosophy Behavioral Tools Statistical Methods
2. Statistical Methods ,[object Object],[object Object],Collecting and describing data. Making decisions based on sample data.
Descriptive Statistics ,[object Object],[object Object],[object Object],A Characteristic of a: P opulation is a P arameter S ample is a S tatistic.
Inferential Statistics ,[object Object],[object Object],[object Object],Making decisions concerning a population based on sample results.
3. Types of Data
3. Data Sources Primary Data Collection Secondary Data Compilation Observation Experimentation Survey Print or Electronic
Quota 4.Types of Sampling Methods Samples Non-Probability Samples Judgement Chunk Probability Samples Simple Random Systematic Stratified Cluster
Probability Samples Probability Samples Simple Random Systematic Stratified Cluster Subjects of the sample are chosen based on known probabilities.
Simple Random Samples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Systematic Samples ,[object Object],[object Object],[object Object],[object Object],[object Object],N = 64 n = 8 k = 8 First Group
Stratified Samples ,[object Object],[object Object],[object Object]
Cluster Samples ,[object Object],[object Object],[object Object],[object Object],Population divided into 4 clusters.
5. Survey methods ,[object Object],[object Object],[object Object],[object Object]
6. Types of Survey Errors ,[object Object],[object Object],[object Object],[object Object],Excluded from selection. Follow up on non responses. Chance differences from sample to sample . Bad Question!
Lesson Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Lesson01_new

  • 1. Statistics for Management Lesson 1 Introduction and Data Collection
  • 2.
  • 3. 1. Statistical Thinking and Management Three Aspects of Quality Improvement Management Philosophy Behavioral Tools Statistical Methods
  • 4.
  • 5.
  • 6.
  • 7. 3. Types of Data
  • 8. 3. Data Sources Primary Data Collection Secondary Data Compilation Observation Experimentation Survey Print or Electronic
  • 9. Quota 4.Types of Sampling Methods Samples Non-Probability Samples Judgement Chunk Probability Samples Simple Random Systematic Stratified Cluster
  • 10. Probability Samples Probability Samples Simple Random Systematic Stratified Cluster Subjects of the sample are chosen based on known probabilities.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.