CIT 22000
Quantitative Analysis II
Course Instructional Objectives
Quantitative Analysis II
Course Instructional Objectives
Use of Statistics
- Examine who really uses statistics
- Examine how statistics is used
- Provide a very short history of the use of statistics
Grouping and Displaying Data to Convey Meaning
- Show the difference between samples and populations
- Convert raw data to useful information
- Construct and use frequency distributions
- Graph frequency distributions
- Use frequency distributions to make decisions
Measures of Central Tendency and Dispersion in Frequency Distributions
- Use summary statistics to describe collections of data
- Use the mean, median, and mode to describe how data "bunch up"
- Use the range, variance, and standard deviation to describe how data "spread out"
- Examine computer-based exploratory data analysis to see other useful ways to summarize data
Probability: Introductory Ideas
- Examine the use of probability theory in decision making
- Explain the different ways probabilities arise
- Develop rules for calculating different kinds of probabilities
- Use probabilities to take new information into account
- State the definition and use of Bayes' theorem
Probability Distributions
- Introduce the probability distributions most commonly used in decision making
- Use the concept of expected value to make decisions
- Show which probability distribution to use and how to find its values
- Understand the limitations of each of the probability distributions used
Sampling and Sampling Distributions
- Take a sample from an entire population and use it to describe the population
- Make sure the samples taken are an accurate representation of the population from which they came
- Introduce the concepts of sampling distributions
- Understand the trade-offs between the cost of taking larger samples and the additional accuracy this gives to decisions made from them
Statistical Distributions
- Random Sampling Techniques
- Approximating binomial distributions with normal distributions
- Introduction and basic use of statistical software