Jun 23, 2021
MATH& 146 - Introduction to Statistics
Introduction to statistical methods and applications; organization of data, sampling, testing hypotheses, confidence intervals, regression, and correlations.
Prerequisite MATH 087 with a minimum grade of 2.5; MATH 097 with a minimum grade of 2.0; or PREP 087, ABE 087, or HSC 087 with a minimum grade of 3.0; and placement in ENGL& 101.
Course-level Learning Objectives (CLOs)
Upon successful completion of this course, students will be able to:
- Distinguish between quantitative and categorical data.
- Display categorical data using frequency tables and two-way tables.
- Construct appropriate graphical displays of quantitative and categorical data by hand and using technology.
- Compute appropriate summary statistics for quantitative variables.
- Perform computations using the Normal model.
- Construct and interpret scatterplots of bivariate quantitative data.
- When appropriate, compute the correlation of two quantitative variables.
- When appropriate, construct and interpret a linear regression model on two quantitative variables.
- Interpret a residual plot.
- Use random numbers to perform a simulation.
- Appropriately use terms related to sample surveys, experiments, and observational studies.
- Perform basic probability computations.
- Compute the expected value and standard deviation of a random variable.
- Perform computations with probability models, including the binomial model.
- When appropriate, construct and interpret a confidence interval and perform a hypothesis test in situations involving: a. one proportion; b. two proportions; c. one mean; and d. two means.
- When appropriate, use chi-square methods to perform: a. goodness-of-fit tests; b. tests of homogeneity; and c. tests of independence.
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