Math Exam Study Guide

Math Exam Study Guide - 11 Degrees of Freedom for that...

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Correlation: 1) get means of both variables 2) get STD for both variables 3) get cross sum of both variables- take (x-x)(y-y) 4) get the covariance- get sum then – n-1 5) get R- covariance over two STD’s multiplied together 6) Null: P=0 7) P ≠0 8) Percentage of variability- r(2) 9) P>.005- We don’t reject null and there is no statistically significant relationship Non-Parametric 1) Null and non-directional- Write out variables 2) To get %, divide Yes by Total 3) Get Chi-square (Observed-Expected) ^2 / E (N/Number of categories) 4) E is sum of variables divided by number of categories 5) Observed row, E, O-E, (O-E)^2, (O-E)^2/E---Add it all together and /E=Chi-Sq 6) Degrees of Freedom: (R-1) 7) Critical Value of Chi-Square 8) If obtained value is greater than critical, the null is rejected 9) EXPECTED: Row Total x Column Total / Overall total- Look at above 10) Chi-Square- Same as Observed but Yes and No row. Observed, Expected( which will be on the chart) Then get the sum which is the obtained chi-square
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Unformatted text preview: 11) Degrees of Freedom for that is (R-1)(C-1) Odds Ratio: 1) O/R=AD/DC Selecting Tests: 1) Mean: Central Tendency, Organizing Information, 2) Standard Deviation: Average deviation of the mean, descriptive measure of average variability 3) Proportion: Descriptive Technique that reports results 4) Independent Sample T test: comparing two independent groups- continuous 5) One way ANOVA- comparing 3 or more independent groups 6) Paired sample T-Test- change in something over time, assessment. Same group measured twice 7) Pearson- two continuous variables 8) Levene’s test- Analysis of Variance, homogeneity of variance 9) Chi-Square- Categorical 10) 1 Sample KS- Paired T test, Normally distributed 11) Man Whitney- Compare two independent groups and Independent t test doesn’t work 12) Kruskal Wallace- 3 or more independent groups and one way ANOVA doesn’t work 13) Spearman’s R- Relationship between two- Pearson’s doesn’t work...
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This note was uploaded on 09/15/2008 for the course BIO 101 taught by Professor Gee during the Spring '08 term at Canisius College.

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