- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Course details
Presentation of data in tabular and graphical form. Frequency distribution, measures of central tendency and variation. Probability, discrete and continuous data. Binomial and Normal probability distributions. Sampling, confidence limits, and hypothesis testing. Regression, correlation, and chi-square test. Applications to data and problems relevant to information technology.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
4.0
- Not offered this term
- This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Produce bar, pie, histogram and Pareto charts.
- Interpret charts.
- Compute: mean, median, range, standard deviation, variance, percentiles and standard scores.
- Use statistical functions to explain data.
- Perform basic probability calculations.
- Solve statistical problems using the binomial or normal probability distributions.
- Carry out statistical tests related to sample means, sample proportions, chi-square distribution, and correlation and regression.
- Apply the above concepts and techniques to topics in IT.
- Demonstrate fluency using a statistical analysis tool for all relevant applications.
Effective as of Fall 2006
Related Programs
Statistics for Information Technology (MATH 1350) is offered as a part of the following programs:
School of Computing and Academic Studies
- Computer Information Technology
Diploma Full-time
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