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Sept 28 - Frequency Distribution Continued.doc

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Physical Education and Sport
John Dunn

Sept 28 – Frequency Distribution Continued First Midterm Up to and including chapter 2 When we go with a grouped frequency distribution table, we lose information because we are no longer dealing with raw scores The more rows we have, the less loss of info and vice versa 500,000 and 1,000,000 are good numbers to use as interval widths Choose the number of rows that are closer to 10 (8 will be closer than 16 to 10) If we are working with one million intervals, the bottom score in each class interval should be a multiple of the width Extremely skewed distribution – lots of people on the high end, few people on the low end Have the numbers in ascending or descending orders Rounding error – (we wil always work to 3 decimal places in this course) Graph Format 1.) Horizontal axis – called the x-axis (abscissa) 2.) Vertical Axis – called the y-axis (ordinate) Histogram Use these only if you are using ratio measure There is no space beween the bars, that tells the statistician that you are working with interval or ratio measurement The vertical bars touch Height of horizontal bars correspond to frequency Draw relatively straight lines Label the axes Frequency and proportion should always be on the y axis Width of horizontal bar extends to the real limits of the score or class width We see the jagged sign to show there is no data at a certain point in a graph Bar graphs • Used with nominal or ordinal measurements/data • Vertical bars don't touch.. emphasising distinct/unique categories • The order of the categories aren’t important unless the order has meaning (ex. It doenst matter if we had a bar graph of how we get to university. If we had a grade distribution bar graph, then the order would matter.) • Grades are ordinal but we don't know the differences between a B and a B-. Frequency Distibution Polygons A dot is used instead of a bar to represent frequency
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