Back
 Credit Hours:  3 Effective Term: Fall 2017 SUN#: BUS 2201 AGEC: None Credit Breakdown: 3 Lectures Times for Credit: 1 Grading Option: A, B, C, D, F Cross-Listed:

Description: A study of business applications using descriptive and inferential statistics, measurement of relationships, and statistical process control management techniques. Prerequisites: RDG094; MAT151; (CIS120 or Instructor Consent).

Prerequisites: RDG094; MAT151; (CIS120 or Instructor Consent)

Corequisites: None

Recommendations: None

Measurable Student Learning Outcomes
1. (Synthesis Level) Collect, organize, present, and analyze numerical data using a spreadsheet or statistical program and prepare reports in correct form that may include: frequency distributions, contingency tables, histograms, stem-and-leaf charts, pie charts.
2. (Evaluation Level) Accurately calculate and interpret the measures of central tendency (mode, median, mean) and spread (variance, standard deviation) for either raw or grouped data.
3. (Evaluation Level) Accurately calculate and interpret the measures of dispersion and skewness for a data set.
4. (Analysis Level) Use statistical methods to make statistical inferences, such as Chi square, simple regression, and correlation analysis.
5. (Evaluation Level) Test hypotheses employing the normal distribution and central limit theorem.
6. (Evaluation Level) Describe probability sampling, probability distributions and their uses and organize data as a probability distribution in order to make inferences.
7. (Application Level) Correctly demonstration how to utilize the Excel statistical functions by applying them to projects.
Internal/External Standards Accreditation
None