
Catalog 20192020 [ARCHIVED CATALOG]

MATH& 146 Introduction to Statistics5 credits This course covers the organization and graphical representation of data, measures of central tendency and variation, basic probability theory, discrete probability distributions and the binomial formula, the normal distribution, hypothesis testing, confidence intervals, correlation, and linear regression.
Prerequisites: MATH 098 recommended or MATH 099 (or placement into MATH& 146)
Course Outcomes Upon successful completion of this course the students will be able to:
 Organize and graph data using scatterplots, histograms, and boxplots
 Calculate mean, standard deviation, zscores, and percentile values
 Solve problems using the basic elements of probability theory, such as sample spaces, the addition rule, and the multiplication rule
 Calculate the mean and standard deviation of a probability distribution
 Calculate expected value
 Calculate probabilities using the binomial probability formula
 Calculate probabilities and find percentile values using the normal distribution and the central limit theorem
 Construct and interpret confidence intervals
 Perform hypothesis tests
 Measure and test for correlation
 Use regression equations to make predictions
Global Outcomes This course teaches to the global outcome of critical thinking.
Total Hours: 50 Lecture Hours: 50

