An introduction to statistics. The objective is to assess the validity of statistical conclusions; organize, summarize, interpret, and present data using graphical and tabular representations; and apply principles of inferential statistics. Focus is on selecting and applying appropriate statistical tests and determining reasonable inferences and predictions from a set of data. Topics include methods of sampling; percentiles; concepts of probability; probability distributions; normal, t-, and chi-square distributions; confidence intervals; hypothesis testing of one and two means; proportions; binomial experiments; sample size calculations; correlation; regression; and analysis of variance (ANOVA).

Students who are interested in Math and Statistics. No prerequisite courses are required, but students need to go through a competitive admissions process.

Grade 11 & Grade 12

In this course, you will develop a basic understanding of descriptive and inferential statistics. The course provides the quantitative tools for decision-making and develops the ability to interpret statistical results in professional literature as well as the media.

This course is intended to accommodate every student who needs an introductory statistics course, regardless of the subject in which one plans to major.

Following is a general outline of specific topics you will encounter in this course:

-Introduction to Statistical Thinking, Types of Data, and Collection of Sample Data
-Methods of Summarizing and Graphing Data
-Measures of Center and Variation
-Probability, Basic Counting Methods, and Conditional Probability
-Discrete Random Variables, the Binomial Distribution
-The Normal Distribution
-Confidence Interval Estimation
-Hypothesis Testing, including z-, t-, and χ2 Tests
-Correlation and Regression
-Goodness of Fit
-One-Way Analysis of Variance (ANOVA)

After completing this course, you should be able to:

-distinguish among sampling methods for the collection of data in order to assess the validity of statistical conclusions
-organize, summarize, interpret, and present data using graphical and tabular representations
-apply basic concepts of probability in order to assess the likelihood of an event
-select and apply the statistical test or tests that are most appropriate to analyze a data set
-determine reasonable inferences and predictions from a set of data to make appropriate decisions

The course is taught by qualified professors from the University of Maryland's global campus. During the course, St. Mary's Online Academy teachers will provide additional guidance and office hours to ensure students achieve the best learning results.

This course consists of the following graded items:
LEO Discussion Participation (8 [email protected]% each): 20%
Weekly Homework Problems (7 weeks@ 4% each): 28%
Three Written Assignments (4% each): 12%
Midterm Exam: 20%
Final Exam: 20%