MATH& 146 - Introduction to Statistics

5.0 Credits
Introduction to statistical methods and applications; organization of data, sampling, testing hypotheses, confidence intervals, regression, correlations. Graphing calculator required. Prerequisite: MATH 090 or equivalent with a grade of 2.0 or higher, or appropriate score on math placement test; 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. [REASON]
Display categorical data using frequency tables and two-way tables. [REASON]
Construct appropriate graphical displays of quantitative and categorical data by hand and using technology. [REASON]
Compute appropriate summary statistics for quantitative variables. [REASON]
Perform computations using the Normal model. [REASON]
Construct and interpret scatterplots of bivariate quantitative data. [REASON]
When appropriate, compute the correlation of two quantitative variables. [REASON]
When appropriate, construct and interpret a linear regression model on two quantitative variables. [REASON]
Interpret a residual plot. [REASON]
Use random numbers to perform a simulation. [REASON]
Appropriately use terms related to sample surveys, experiments and observational studies. [REASON]
Perform basic probability computations. [REASON]
Compute the expected value and standard deviation of a random variable. [REASON]
Perform computations with probability models, including the binomial model. [REASON]
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. [REASON]
When appropriate, use chi-square methods to perform: a. goodness-of-fit tests; b. tests of homogeneity; c. tests of independence. [REASON]