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deleted244469
I was a psychology major in undergrad, so I naturally took Psychological Statistics instead of "Statistical Methods". I would like to retake this course, but other than my UG Uni, I don't know any other places that offer it. I am able to take "Statistical Methods I" at the local CC, but I don't know if would replace my Psych stat class or not. Here are the course descriptions:
PSYC 2101: (4 S.H.) 3 lecture and 2 lab hours per week. P: MATH 1065 or equivalent or MATH 1066; PSYC 1000 or PSYC 1060. Descriptive statistics. Measures of central tendency, variability, and correlation. Probability, with emphasis on sampling distributions used for prediction and hypothesis testing. Selection, computation, and interpretation of parametric and nonparametric inferential statistics, including introduction to analysis of variance.
MAT 151: Statistical Methods (4 S.H.):
This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results.
PSYC 2101: (4 S.H.) 3 lecture and 2 lab hours per week. P: MATH 1065 or equivalent or MATH 1066; PSYC 1000 or PSYC 1060. Descriptive statistics. Measures of central tendency, variability, and correlation. Probability, with emphasis on sampling distributions used for prediction and hypothesis testing. Selection, computation, and interpretation of parametric and nonparametric inferential statistics, including introduction to analysis of variance.
MAT 151: Statistical Methods (4 S.H.):
This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results.
