COURSE NUMBER AND TITLE: MATH 2210 Elementary Statistics

CREDIT HOURS: 3

CATALOG DESCRIPTION: A study of frequency distributions of data, graphical and numerical presentations of data, probability, discrete and continuous distributions, sampling distributions, estimation, hypothesis testing, simple linear regression and correlation and goodness of fit.

PREREQUISITE(S): MATH 1111 or MATH 1101 or permission of instructor.

SUGGESTED TEXT(S): Understandable Statistics, by Charles Henry Brase and Corrinne Pellillo Brase, 8th Edition, Houghton Mifflin, 2008.

COURSE OUTLINE:

• Organizing Data – frequency distributions, histograms, stem-and-leaf displays, bar and circle graphs.
• Averages and Variation – Measures of central tendency, measures of variation, measures of position, percentiles, box and whisker plots.
• Elementary Probability Theory – Basic rules of probability, compound events, counting techniques.
• Discrete Distributions – Binomial and hyper-geometric distributions.
• Continuous Distributions – Normal distribution
• Introduction to Sampling Distributions – Concept of sampling distributions, central limit theorem.
• Estimation – One sample confidence interval for population mean and proportion, sample size determination.
• Hypothesis Testing – One sample test of hypothesis about population mean and proportion, test of paired difference, test of differences in population means and proportions
• Regression and Correlation – Scatter diagrams, linear regression and correlation, the coefficient of determination, inferences for correlation and regression.
• Chi-square Distributions – Test of independence, goodness of fit.