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.
 Hours3.0 Credit, 3.0 Lecture, 1.0 Lab
 RecommendedMATH 110 or equivalent.
 NoteAlso offered by BYU Independent Study; enroll anytime throughout year; one year to complete; additional tuition required; register at
 TaughtFall, Winter, Spring, Summer
 OfferedIndependent Study also.
 ProgramsContaining 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.