Course Description
Designed as a first course for students in business administration, education, social sciences, engineering, and other fields in which data are collected and predictions are made. Covers descriptive measures, the summarizing of data, an introduction to probability, discrete probability distributions, normal probability distributions, sampling distributions, estimation, confidence intervals, hypothesis testing, correlation, regression, chi square tests, one-way analysis of variance (ANOVA), and use of nonparametric tests. In addition, utilizes a statistical software package to conduct data analysis and solve applied problems. Requires a graphing calculator, with the TI-84 Plus series recommended. Also requires access to an online homework management system as well as a statistical software package.
4
Course Fee
10
Miscellaneous Department Fee
0
Academic Level
Undergraduate
General Education Category
Mathematics
Michigan Transfer Agreement (MTA) Category
Category 3: Mathematics - Applied Degrees, Category 3: Mathematics - Transfer Degrees - Statistics Track
Eligible for Credit for Prior College Level Learning (CPCLL)
Yes
Acceptable Prior Learning Credit
Other Exam
Credit for Prior College Level Learning (CPCLL) Details
Other Exam Details
Minimum score of 3, Advanced Placement (AP) Statistics exam
CPCLL Faculty Contact
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