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Jan 28, 2025
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EDRE 7200 - Educational Statistics Course topics include measures of central tendency, measures of variability, standard scores, normal curve, simple regression, correlation, point estimates, testing statistical hypotheses, mean comparisons, confidence intervals, t-distributions, chi-square distributions, F-distributions, and the use of computer statistical packages.
Requisites: Credit Hours: 4 Repeat/Retake Information: May not be retaken. Lecture/Lab Hours: 4.0 lecture Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I Learning Outcomes: - Students will be able to use basic descriptive, graphical, and inferential statistical methods (e.g., correlation, bivariate regression, mean comparisons, chi-square, crosstabs, nonparametric) for appropriate purposes within the research process.
- Students will be able to interpret the statistical results from basic descriptive, graphical, and inferential statistical methods.
- Students will be able to use the logic and process of null hypothesis significance testing, while attending to matters such as error, statistical power, assumptions, effect size, confidence intervals, and sampling.
- Students will be able to use a computer program (e.g., SPSS) to enter data and perform descriptive, graphical, and inferential statistical analyses, including screening data and testing assumptions.
- Students will be able to evaluate quantitative research methods and basic statistical analyses reported in published research articles and manuscripts.
- Students will be able to interpret and communicate effectively about basic statistical analyses and the quantitative research process (e.g., problems, methods, results, and conclusions).
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