MTH 243 Introduction to Statistics
An introductory statistics course emphasizing interpretation of statistical results. The course focuses on sampling procedures, experimental design, descriptive statistics, and inferential statistical techniques to analyze survey and experimental data from a wide range of fields including health care, biology, psychology, physics and agriculture. Includes basic concepts in graphical interpretation of one and two variable data, probability, probability distributions (binomial, normal, t-Distribution, and chi-square), confidence intervals for means and proportions, and hypothesis testing.
Prerequisite
Prerequisite:
MTH 111 College Algebra or equivalent with a grade of C or better.
Offered
Offered Fall & Spring only
Notes
Lower Division Transfer (LDT) Course
General Education Requirements
AAOT Science/Math Non Lab, AAS Math/Computation, AS Math, AGS Math/Science, AAOT Math,
Outcomes
Upon successful completion of this course, students will be able to:
Construct and interpret data distributions and descriptive statistics to address applied problems. Calculate basic probabilities, using probability density functions when appropriate. Describe the relationship between the Central Limit Theorem and sampling distributions, confidence intervals, and hypothesis test. Apply the appropriate confidence interval and or hypothesis test to applied problems and interpret results appropriately. Identify the uses and misuses of statistics in society.