chapter 1 - Chapter 1 Data Collection 1.1 Introduction to...

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Chapter 1 Data Collection 1.1 Introduction to the Practice of Statistics 1. Statistics is the science of collecting, organizing, summarizing and analyzing information in order to answer questions or draw conclusions. The process of statistics is: (1) Identify the research objective. (2) Collect the information needed to answer the questions posed in part (1). (3) Organize and summarize the information. (4) Draw conclusions form the information. 2. The population is the group to be studied as defined by the research objective. A sample is any subset of the population. 3. information 4. individual 5. Descriptive; inferential 6. An experiment is double blind if neither the researcher who is administering the treatment, nor the subject who is receiving the treatment is aware of which treatment the subject is receiving. 7. An experimental group usually receives some sort of experimental drug or treatment, while the control group receives a placebo or a treatment whose effect on the response variable is known. 8. Placebos are innocuous treatments such as sugar tablets. They are needed so that the treatments each group receives appear to be the same. 9. Variables 10. A qualitative variable classifies individuals based on some attribute or characteristic. Some examples are gender, zip codes, class (freshman, sophomore, etc.) and ethnicity. A quantitative variable is a numerical variable on which arithmetic operations can be sensibly performed. Some examples are temperature, height, blood pressure, and life expectancy. 11. A discrete variable is a quantitative variable that has a finite or countable number of possible values. Continuous variables are also quantitative variables, but there are an infinite number of possible values that are not countable. 12. True 13. The process of statistic is to (1) identify the research objective, (2) collect the information needed to answer the questions posed in (1), (3) organize and summarize the information, and (4) draw conclusions from the information. 1
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Chapter 1 Data Collection 14. No. Age sometimes has the illusion of being discrete because we often consider a person’s age to be only the completed years and ignore the fractional portion. However, it is possible, at least in theory, to measure age with as much accuracy as we desire. When we consider only the completed years, we are truncating the continuous random variable. 15 . Qualitative 16. Quantitative 17. Qualitative 18. Qualitative 19. Quantitative 20. Quantitative 21. Quantitative 22. Qualitative 23. Quantitative 24. Quantitative 25. Qualitative 26. Qualitative 27. Discrete 28. Continuous 29. Continuous 30. Discrete 31. Discrete 32. Continuous 33. Continuous 34. Continuous 35. Discrete 36. Discrete 37. Discrete 38. Continuous 39. The population consists of all teenagers 13 to 17 years old who live in the United States.
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This note was uploaded on 11/21/2011 for the course NGN 111 taught by Professor Ahmad during the Spring '11 term at American Dubai.

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chapter 1 - Chapter 1 Data Collection 1.1 Introduction to...

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