MATH 1530 Review Chp.1-3

# MATH 1530 Review Chp.1-3 - Chapters 1-3 REVIEW for Test...

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Chapters 1-3 REVIEW for Test Chapter 1 1-2 Statistical and Critical Thinking Statistical significance- a result that is very UNLIKELY to occur by chance Practical significance- “common sense” might decide it is “worth the effort, expense, etc.” whether or not it has statistical significance. ***Try p.12 #13 & #15 Recognize potential problems when analyzing data (ex. small sample, nonresponse, etc.) 1-3 Types of Data Parameter- measurement describing some characteristic of a population Statistic -measurement describing some characteristic of a sample One method of classifying data- Quantitative/Qualitative 1. Quantitative data – data that consists of numbers representing counts or measurements. Can be further described by data being either discrete or continuous. (Discrete – countable Continuous – infinitely many possible values) Ex. discrete – number of students in class continuous – heights of student in class 2. Qualitative (or categorical) data- consists of names or labels that are not numbers representing counts or measurements. (can be numbers that serve as labels, such as numbers on uniforms) A second method of classifying data – Levels (nominal, ordinal, interval, ratio) 1. Nominal – level of measurement that cannot be arranged in an ordering scheme (no high or low)(ex. survey response: yes/no) 2. Ordinal – arranged in some order but differences between data can not be determined (ex. grades: A, B, C, D, F)

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3. Interval – can be arranged in some order and differences between data can be found and are meaningful but no natural zero (ex. temperature - 0° does not mean no temperature) 4. Ratio – can be arranged in order, differences between data can be found and are meaningful, and there is a natural zero. Also division makes sense, you can say one is twice as much as another. (ex. price of
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