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H-SC MATH 121 - Lecture 11 Notes

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What Are We Summarizing?Slide 2Slide 3Qualitative VariablesSummarizing Qualitative VariablesQuantitative VariablesSummarizing Quantitative VariablesCautionSlide 9Slide 10Slide 11Slide 12Continuous VariablesDiscrete VariablesDiscrete vs. ContinuousSlide 16What Are We Summarizing?Lecture 13Sections 4.1 – 4.2Mon, Feb 4, 2008What Are We Summarizing?How can we summarize data taken from a sample?We want to reduce the data down to a single number (a statistic).What Are We Summarizing?How best to summarize…Political affiliation?Body weight?Steak preference (rare, medium, etc.)?Number of children?Temperature throughout the day?What is the difference?Qualitative VariablesQualitative variable.The values of a qualitative variable may or may not have a natural order.Examples: Political affiliation.Steak preference.Summarizing Qualitative VariablesTypically, we use percentages or proportions to summarize qualitative variables.40% of the subjects are Democrats.50% of the people prefer their steak medium.Quantitative VariablesQuantitative variable.The values of a quantitative variable always have a natural order.Examples:A person’s weight.Number of children.Temperature.Summarizing Quantitative VariablesTypically, we use averages to summarize quantitative variables.The people in the sample weigh an average of 156.2 lbs.The people in the sample have an average of 2.3 children.The average temperature for the day was 82.7 degrees F.CautionSome qualitative variables may appear to be quantitative.Rate your own level of sexual desire:(1) Way below average(2) Below average(3) Average(4) Above average(5) Way above averageCautionIf a person selects #3, does that mean that his sexual desire is average?CautionIf two people select #3, does that mean that they have the same level of sexual desire?CautionIf one person selects #2 and another person selects #4, does that mean that the second person has twice the sexual desire as the first person?Quantitative VariablesA quantitative variable may be continuous or discrete.Continuous VariablesContinuous variable.Typically these are measured quantities: length, time, area, weight, etc.Discrete VariablesDiscrete variable.Typically these are count dataA verbal description usually contains the phrase “the number of.”Discrete vs. ContinuousSome data may mistakenly be thought to be discrete.TimeWeightClearly, all measurements must be rounded off. But that does not make the quantity itself discrete.Discrete vs. ContinuousWhat about heart rate, measured in beats per minute?It is the basic nature of the quantity that matters, not how we choose to record our


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H-SC MATH 121 - Lecture 11 Notes

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