MATH1112 - Applied Statistics
Meets MnTC Goal Areas 2 and 4. This course focuses on the principles and applications of statistics and data analysis with an emphasis on inference. Students will acquire a solid foundation in the basics of statistics and its application in solving practical problems. This course uses examples from various disciplines to illustrate the relevancy of statistics in real-world situations. Topics may include frequency distributions, introduction to probability, normal distribution, central limit theorem, estimation, hypothesis testing, non-parametric techniques, design of experiments, one-way and two-way analysis of variance and simple linear regression.
- Placement Exam
- Identify different levels of measurements of data.
- Demonstrate knowledge of sampling techniques.
- Organize data using frequency tables, graphs and stem-and-leaf plots.
- Compute measures of central tendency and variation.
- Analyze data and correlation of data using linear regression.
- Find probability of an event using probability properties and counting techniques.
- Estimate population parameters using confidence intervals.
- Perform hypothesis testing and interpret the results.
- Perform analysis of variance.
- Analyze the characteristics of a normal distribution, including the central limit theorem.
2. Critical Thinking
4. Mathematics/Logical Reasoning
Degrees that use this course
Associate of Applied Science (AAS)