MT 143 - Introductory Statistics I

Fulfills SUNY General Education – Mathematics.

Course Outcomes
Upon completion of this course, the student will be able to:

• define basic statistical terms;
• use key characteristics of a distribution to quantify the shape, center, and spread of the distribution;
• compute probabilities and apply the concepts of probability to confidence intervals and hypothesis tests;
• use a table, MINITAB, and the binomial probability density function to compute expected values and probabilities associated with binomial experiments;
• use a table of areas, and MINITAB to compute relative frequencies and percentages associated with a continuous random variable with a normal distribution;
• use hypothesis tests to weigh inferences concerning means and proportions;
• use a confidence interval to estimate and measure the accuracy of means and proportions;
• use a scatter plot of bivariate data to visualize the relationship between variables, use the correlation coefficient to measure the strength and direction of the relationship, and compute and use a linear function (where appropriate) to describe a linear relationship between the variables and make predictions;
• draw a histogram, stem and leaf diagram, dotplot, boxplot and compute measures of central tendency and dispersion;
• make random selections of data and simulate experiments;
• compute probabilities for various distributions;
• compute normal distributions and sampling distributions of the mean;
• conduct hypothesis tests to weigh inferences concerning means and proportions;
• find interval estimates concerning means and proportions; and
• draw a scatter plot and regression line of a linear relationship between two variables, measure the strength and direction of the relationship, and where appropriate, make predictions using the aforementioned relationship.