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week 3 psych 215

by: Stephanie Bahr

week 3 psych 215 Psych 215

Stephanie Bahr
Shen Zhang

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About this Document

Shen Zhang
Class Notes
25 ?





Popular in Psychlogy

This 2 page Class Notes was uploaded by Stephanie Bahr on Friday September 18, 2015. The Class Notes belongs to Psych 215 at University of Wisconsin - Whitewater taught by Shen Zhang in Fall 2015. Since its upload, it has received 20 views. For similar materials see BASIC STATISTICAL METHODS in Psychlogy at University of Wisconsin - Whitewater.


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Date Created: 09/18/15
Week of 91415 Correlation and Regression 0 whether two or more variables change together Subject Variable o characteristic or attribute of subject that can be measured but not manipulated by researcher CORRELATION DOES NOT EQUAL CAUSATION 0 just because two or more variables are changing together doesn t mean that one variable changing is the cause of the other variable changing Correlation Coeffcient o a number between 1 and 1 calculated so as to represent the linear dependence of two variables or sets of data Regression Analysis 0 estimating the relationships among variables 0 use one to predict the other Frequency Distribution and Graphs Ungrouped frequency distribution STEPS 0 Listing all possible score values from the lowest to the highest 0 Placing a tally mark beside a score each time it occurs 0 Simple frequency of occurrence of each scoref o a count of the number of times each score occurs in a set of scores 0 Relative frequency proportion of scoresrf 0 frequency of a score relative to the total number of observations 0 obtained by dividing frequency of each score by total number of observations 0 Percentage frequencyf o f of a score rf of a score X 100 Grouped frequency distributions STEPS 0 Put the scores in order 0 find the smallest and largest scores in your data then subtract the two 0 calculate an approximate interval size by dividing the above difference by how many intervals you would ikeusuay 520 0 round that interval size up to some simple value if needed 0 pick a starting value that is less than or equal to the smallest score try to make it a multiple of the interval size 0 now calculate the list of intervals


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