10 - Basic Stats Review

10 - Basic Stats Review - Basic Stats Review Thurs March...

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Basic Stats Review Thurs March 25, 2010 Univariate: Frequencies (provide raw data; how data has been coded) Measures of central tendencies (mean, median, mode, standard deviation) Chi-Square: Test of association Population health experts are interested in identifying any gender differences in age in Canada In an effort to understand this issue further, we’ll run a statistical test **look for the language used Association between two variables = Chi square test independent variable + dependent variable discrete + rank variable: age Research Question: Is there an association between gender and age in Canada? Age will be ranked based on four traditional age categories: - Young (0-19), Young Adults (20-34), Middle Aged (35-64), and Older Adults (65+) Research Hypothesis: Null hypothesis: Gender is independent of age. In other words, there is no association between gender and age cohorts in Canada. Research hypothesis: Gender is not independent of age. In other words, there is an association between gender and age cohorts in Canada. Chi Square: Test of Significance Always state the assumed confidence level Assume 95% confidence level, 5% error, P value 0.05 **it will be assumed all Chi square tests have 95% confidence level
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This note was uploaded on 12/26/2011 for the course FNR 100 taught by Professor D.mahoney during the Winter '10 term at Ryerson.

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10 - Basic Stats Review - Basic Stats Review Thurs March...

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