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Qualitative Data Quantitative Data
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Most data (i.e. age, weight, etc). Categorical data (i.e. gender).
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Bar or Pie Charts Frequency Distribution
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Percentage of proportions; used for qualitative data (categorical). Frequency distribution for qualitative data.
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μ (Mu) Measure of Central Tendency
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i.e. mean, median, mode Mean of population (only one variable can exist).
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Outlier X (X Bar)
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Mean of a sample. Skews the mean (i.e. 3, 1, 4, & 600).
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Median Trimmed Mean
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Disregard the highest and lowest 5% of a data set, using the mean of 90%. Reorder data and chose the middle number.
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Bell-Shaped Mode
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Most frequently occurring number in a data set (used for large scales, otherwise it’s meaningless). Shape of the normal distribution curve (mean, median, and mode are the same).
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Outlier Problem Mode; Mean; Median
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The ____ will never follow the outlier; the ____ will always follow the outlier; the ____ will follow the outlier a little. A big difference between the mean and the trimmed mean.
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Interquartile Range Range
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Simplest measure of dispersion (highest data value – lowest data value); affected by outliers. Disregard upper and lower 25% of data, subtracting the first quartile from the third quartile (Q3 – Q1).
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68.3% Sample
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Set of data for any computer printout. Plus or minus one standard deviation ( ± )
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99.7% 95.5%
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Plus or minus two standard deviations ( ± ) Plus or minus three standard deviations ( ± )
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Interquartile Range 1. Mean and Trim Mean 2. How many standard deviations (>3 is bad) 3. Box Plot 4. Stem & Leaf Approach
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Four methods of finding outliers: Shaded area of a box plot.
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Median Whiskers
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25% of data in a box plot. Horizontal line in a box
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This note was uploaded on 09/08/2011 for the course ECO 3411 taught by Professor Staff during the Fall '08 term at University of Central Florida.

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