Principles of Statistics
Principles of Statistics
Graphical displays and numerical summaries, data collection methods, probability, sampling distributions, confidence intervals and hypothesis testing involving one or two means and proportions, contingency tables, correlation and simple linear regression.
| Hours | 3.0 Credit, 3.0 Lecture, 1.0 Lab |
| Prerequisites | None |
| Recommended | MATH 110 or equivalent. |
| Note | Also offered by BYU Independent Study; enroll anytime throughout year; one year to complete; additional tuition required; register at is.byu.edu. |
| Taught | Fall, Winter, Spring, Summer |
| Offered | Independent Study also. |
| Programs | Containing STAT 121 |
Course Outcomes:
Data collection methods
Describe key features of valid methods of data collection.
Graphical displays
Generate and interpret graphical displays of a given data set.
Random variables and sampling distributions
Describe the distribution of random variables, sample means, and sample proportions.
Probability calculations
Calculate probabilities associated with statistics using properties of their sampling distributions.
Relationship between variables
Examine the relationship between two quantitative variables, two categorical variables, and a categorical and quantitative variable.
Parameter estimation
Estimate population parameters using confidence and prediction intervals.
Hypothesis testing
Assess claims about population parameters using tests of significance.
Statistical Procedure
Determine the appropriate statistical procedure to use for a given research problem.