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# MT 143 - Introductory Statistics I

Credit Hours: 4

This four-credit course includes concepts and computer skills which are valuable in a variety of life and work applications, as well as in more advanced coursework. This course will include topics from descriptive and inferential statistics, such as graphing, measures of central tendency and dispersion, probability frequency distributions, Central Limit Theorem, the normal distribution, sampling concepts, estimation, hypothesis testing, linear regression, correlation, utilization of a statistical software package, interpretation of computer output, and explaining and interpreting statistical analysis.

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.

Prerequisites: MT 013 or appropriate college equivalent and /or appropriate mathematics level code.*
F/S (C, N, S)

*Level code is determined by Mathematics Department placement test and/or successful completion of math courses.