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Week 2 of PSYX 222

by: Victoria Lassettre

Week 2 of PSYX 222 PSYX 222

Victoria Lassettre
GPA 3.57
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About this Document

These notes cover the information presented in the second week of class.
Psychological Statistics
Daniel Dennis
Class Notes
Statistics, Psychology




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This 2 page Class Notes was uploaded by Victoria Lassettre on Sunday February 7, 2016. The Class Notes belongs to PSYX 222 at University of Montana taught by Daniel Dennis in Spring 2016. Since its upload, it has received 25 views. For similar materials see Psychological Statistics in Psychlogy at University of Montana.


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Date Created: 02/07/16
Margin of Error: we know that there is sampling fluctuation and if we keep on taking samples than the sample mean value may average out to be the same Chapter 2: Graphical and numerical methods are used to display and summarize data Equivalence class: an interval that falls on a frequency distribution  Also called class intervals  Ungrouped: occurs when each interval represents one value  Grouped: the interval represents more than one value on a frequency distribution ▯ Nominal upper limit: the highest value found on a frequency distribution ▯ Nominal lower limit: the lowest value found on a frequency distribution  Real limits show that there are no gaps between the intervals ▯ Class interval size: the range between the values in an interval  EX: i=17-14=3  Expectations: be mutually exclusive, be continuous, 10-20 class intervals, intervals be the same size, preferred class interval sizes be used, interval should be a multiple of the number of values within an interval, highest interval ranking can be either be at the bottom or the top ▯ Calculating number of interval classes: (range/preferred i)=10-20 intervals ▯ It is useful to group frequencies as either a proportion or as a percentage  Proportion: f/n  Percentage: (f/n)*100% ▯ Relative frequency distribution: shows the % of each interval in relation to the other intervals ▯ Cumulative frequency distribution: shows the percentages of scores below the upper limit of each interval  Cumulative frequency proportion: (total frequency values so far)/n ▯ Bar graph: a way of organizing data in a way that the groupings are being viewed as discrete intervals ▯ Histogram: a way of organizing data that has the groupings viewed as continuous intervals ▯ Frequency polygon: instead of using bars, like you would with a histogram, to depict frequency dots are placed at the midpoints are used  Calculating the midpoint: (upper limit of class interval + lower limit of class interval)/2 ▯ Cumulative frequency polygon: the dots are placed at the upper limit of the class interval  Ogive ▯ Stem-and-leaf display histogram turned on its side and displays the values within each interval ▯ Kurtosis: property of being peaked, flat, or somewhere in between ▯ Symmetrical: the left side is a mirror image of the right side and vice versa ▯ Negatively skewed: the longer tail points towards the origin ▯ Positively skewed: the longer tail points towards positive infinity ▯ Binomal: distribution with two equal maximum frequency humps ▯ Multimodal: has 3 or more humps with the same frequency ▯ J & U distributions: the distributions are in the shape of the two letters ▯ Rectangular/uniform distribution: all of the intervals have the same frequency ▯ Pictogram: presents images in order to convey quantity ▯ ▯


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