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SOWK 2502 (2)
Final

Final Exam Definitions.docx

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Department
Social Work
Course Code
SOWK 2502
Professor
Adje Van De Sande

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Introduction to Statistical Analysis for Social Work | Final Exam Definitions ­ Chapter 7 – t Tests and Analysis of Variance ­ > Chi-Square Test of Association: a common statistical procedure used to analyze the association between two nominal level variables. It is usually referred to as chi-square. Dependent T Test: a hypothesis-testing procedure used to decide whether the means within two dependent samples could have occurred by sampling error; sometimes referred to as a dependent-groups t test, correlated-groups t test, paired-groups t test, or matched-groups t test. Degrees of Freedom: a characteristic f the sample statistic that determines the appropriate sampling distribution; the number of ways in which the data are free to vary; the number of observations minus the number of restrictions places on the data; a number related to the sample size in a way that depends on the particular statistical technique employed; in many statistical test, degree of freedom, or df, is needed in order to determine the p value. Hottelling’s T Test: a statistical test used to examine the relationship among a dichotomous independent variable and a set of two or more interval/ratio dependent variables. Independent T Test: a statistical test used to decide whether two independent samples could have occurred by sampling error. Kolmogorov-Smirnov One-sample Test: (K-S test) a nonparametric test that compares the overall distribution of a sample with another theoretical distribution in relation to an ordinal or skewed interval or ratio dependent variable. Kolmogorov-Smirnov Two-sample Test: (K-S test) a nonparametric test that compares the overall distribution of two samples in relation to an ordinal level or skewed interval or ratio level dependent variable. It identifies the point at which the two samples reflect the greatest difference. Kruskal-Wallis Test: a nonparametric statistical test that can be used to examine the relationship between a nominal variable with more than two values and an ordinal level or skewed interval level or ratio level variable. It is a common nonparametric alternative to simple, one-way ANOVA. Mann-Whitney U Test: a nonparametric test that is used to examine the relationship between a dichotomous nominal level variable and an ordinal level or skewed interval level or ratio level variable. It is a common alternative to the parametric independent t test. MANOVA: (multiple analysis of variance)
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