Chapter 1 Checklist - Key Terms, Concepts and/or Formulas to know . General Key Concepts: Data = Observations collected. Statistics = Science of planning Studies and experiments Population vs. Sample Obtaining dara for analysis an Complete Collection part of Providing Conclusions. . From Ch. 1.1 data a population Does mydata belong as an ORdeRed Key Concepts: Relevance of Ordered Pair Data IF so then Is a difference Import Possible vs. Likely - Can happen Us. Reasonable chance ( think Lo Validity of Samples - What can hamper the process? (also in Ch. 1.3) incest For Test Basic Percent Conversions and Percent Applications . From Ch. 1.2 Population VS. Sample Key Concepts: Parameter Measurement vs. Statistic Measurement ears For Test Quantitative Data vs. Qualitative Data Discrete Data vs. Continuous Data Nominal vs. Ordinal vs. Interval vs. Ratio Levels of Measurement noceder only . Some orderbut Like ORding burzero Like Interval . From Ch. 1.3 Labels/ Categories no differences uses differences ( noo) but O zeau is Key Concepts: Observational Study vs. Experiment - Tell me what you see Versus Random Sample vs. Probability Sample Facing the Issue. Sampling Methods: 1. Systematic epts For Test 2. Convenience 3. Stratified 4. Cluster Confounding = When I can not know the effects of my Experime Design of Experiments - randomization, replication and variable control Plan Concepts Fun Test Sampling Errors - What can hamper the process? How? (also in Ch. 1.1) * Sampling Errors vs. Non-Sampling Errors * * denotes cole concent area for future exain ( See next page)