MATH& 146 - Introduction to Statistics

5.0 Credits
Introduction to statistical methods and applications: organization of data, sampling, testing hypotheses, confidence intervals, regression, and correlations.
Prerequisite Completion of MATH 84, MATH 87, PREP 84, or PREP 78 with minimum grade of 2.5; completion of MATH 94, MATH 97, PREP 94, or PREP 97 with minimum grade of 2.0; satisfactory completion of MATH 10, MATH 11 or MATH 16; or appropriate placement; and placement into ENGL& 101. Students with completion of MATH 77 with a 3.0 or higher or placement into MATH 87 are eligible for MATH& 146 with concurrent enrollment in MATH 16
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; d. two means.
When appropriate, use chi-square methods to perform: a. goodness-of-fit tests; b. tests of homogeneity; c. tests of independence.

Course Typically Offered
Full Year