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STAA 127 - Statistics for Social Sciences |
An introduction to descriptive and inferential statistics used in the social sciences. The logic, assumptions, computation, and interpretation of inferential statistics are covered. Topics include: measures of central tendency, and variability; the normal distribution, correlation, chi-square test of independence; one-sample and independent-samples t-tests; one-way and two-way Analysis of Variance (ANOVA). Note: Students may not receive credit for both this course and STAT 107 Business Statistics or STAT 117 Introduction to Statistics or STAT 157 Probability and Statistics or STAT 208 Biostatistics.
Prerequisite: Eligibility to enroll in a 100-level mathematics course without Lab Emporium.
1.000 Credit hours 4.000 Lecture hours Levels: Non-Matriculated, Undergraduate Schedule Types: Directed Study, Lecture Psychology & Philosophy Department Course Attributes: D.v1_DomainGenEd-Domain II-A, Undergraduate Level Course, Lrng Objective 00, Lrng Objective 03, Lrng Objective 07 Restrictions: May not be enrolled in one of the following Levels: Non-Matriculated May not be assigned one of the following Student Attributes: Required to enroll Math Lab DGCE Student Prerequisites: PREREQ for STAA 127 General Requirements: ( PTMA 1 to 1 May not be taken concurrently. ) or ( PTMA 2 to 9 May not be taken concurrently. ) or ( PTQR 2 to 5 May not be taken concurrently. ) or ( PTAA 4 to 6 May not be taken concurrently. ) or ( PMTH 10 to 11 May not be taken concurrently. ) or ( PNAA 12 to 12 May not be taken concurrently. ) or ( Course or Test: MATH 100 to 219 May not be taken concurrently. ) or ( May not be taken concurrently. ) or ( May not be taken concurrently. ) |
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