MATH 130
Introductory Statistics
LEARNING OUTCOMES
After successfully completing Math
130, a student will be able to:
- Use the main
statistical functions on a TI-83.
- Construct and
interpret appropriate displays of data, including time plots,
scatterplots, histograms and pie charts.
- Recognize the
difference between continuous and discrete variables.
- Identify the
population and recognize bias in sampling and select a simple random
sample and recognize sources of error.
- Distinguish between observational
studies and experiments.
- Outline the design
of a completely random experiment and recognize the placebo effect.
- Recognize when a
double blind experiment is appropriate.
- Find the mean,
median, mode and mid-range of a set of data and compute variance and
standard deviation.
- Explain what the
standard deviation tells us about a set of data.
- Use the standard
deviation to compute z-scores and percentiles.
- Explain the concept
of (mathematical) randomness and list the sample space of simple probability
experiments.
- Explain what the Law
of Large Numbers does NOT say and how it relates to classical probability.
- Apply the rules of
probability in context and compute expected values.
- Apply the definition
of dependence and independence to determine if events are independent or
dependent.
- Recognize when the
Normal Distribution is appropriate and when it's not.
- Solve problems
involving the Standard Normal Distribution.
- Use the Central
Limit Theorem to find probabilities of sampling means.
- Interpret and find
confidence intervals.
- Test hypotheses
dealing with means and proportions.
- Use Regression
Analysis to test correlation of data and find an equation relating data.