SOCS 225 - Statistical Analysis for Social Sciences KCC AA/DS

Institution:

Kapiolani Community College

Subject:

Description:

3 hours lecture per week Prerequisite(s): Qualification for ENG 100; qualification for MATH 100 or higher level mathematics; PSY 100 with a grade of "C" or higher, SOC 100 with a grade of "C" or higher, ANTH 150 with a grade of "C" or higher, ECON 130 with a grade of "C" or higher, POLS 110 with a grade of "C" or higher, GEOG 102 with a grade of "C" or higher, GEOG 151 with a grade of "C" or higher, JOUR 150 with a grade of "C" or higher, or other introductory 100-level social science courses with a grade of "C" or higher, or consent of SOCS 225 uses statistical reasoning in the analysis of social science data. Topics covered include descriptive statistics, probability, parameter estimation, hypothesis testing, tests for independent and dependent measures, analysis of variance, correlation and regression, and nonparametric statistical tests. Computer-aided instruction. Upon successful completion of SOCS 225, the student should be able to: Articulate and interpret various descriptive statistics. Draw and interpret various graphs, such as frequency histograms, bar graphs, and cumulative relative frequency histograms. Solve probability problems involving the concepts of independent events, mutually exclusive events and conditional probability. Calculate probabilities involving normal random variables. Determine and interpret (for large samples) confidence interval estimates of population means and proportions. For a variety of research designs, state the null and alternative hypotheses and select alpha. For a variety of research designs, select the appropriate test statistic and analyze the data accordingly. Estimate the statistical power for a variety of research designs and evaluate its acceptability. Carry out computer-based data analyses using the following techniques: t test for two independent groups, t test for correlated samples, one-way between-groups analysis of variance (ANOVA), multiple comparisons, factorial between groups ANOVA, one-way within-groups ANOVA and mixed designs, correlation, linear regression, and nonparametric tests. Interpret advanced statistical procedures described in research articles.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

kapiolani.hawaii.edu/page/home

Phone Number:

(808) 734-9000

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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