In this course, students will utilize descriptive and inferential statistical methods in contextual situations, using technology as appropriate. The course is designed to increase problem-solving abilities and data interpretation through practical applications of statistical concepts. This course is appropriate for students in a wide range of disciplines and programs. Student Learning Outcomes: -Students will visualize and summarize data using descriptive statistics. -Students will apply basic probability concepts to draw reasonable conclusions. -Students will employ concepts of random variables, sampling distributions, and central limit theorem to analyze and interpret representations of data. -Students will choose an appropriate method of inferential statistics, including confidence intervals and hypothesis testing, to make broader decisions based on sample data. -Students will model linear relationships between quantitative variables using correlation and linear regression.

In this course, students will utilize descriptive and inferential statistical methods in contextual situations, using technology as appropriate. The course is designed to increase problem-solving abilities and data interpretation through practical applications of statistical concepts. This course is appropriate for students in a wide range of disciplines and programs. The course will be delivered using a cross-disciplinary approach. Student Learning Outcomes: -Students will visualize and summarize data using descriptive statistics. -Students will apply basic probability concepts to draw reasonable conclusions. -Students will employ concepts of random variables, sampling distributions, and central limit theorem to analyze and interpret representations of data. -Students will choose an appropriate method of inferential statistics, including confidence intervals and hypothesis testing, to make broader decisions based on sample data. -Students will model linear relationships between quantitative variables using correlation and linear regression.