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STAT 130: Introduction to Statistics for the Life Sciences

Course Prerequisites

Grade of C or better in Math 110 (Intermediate Algebra) or appropriate score on the department placement test.

Course Description

STAT 130 is an introductory course in statistics intended for students in the field of life sciences.
Topics discussed include displaying and describing data, the normal curve, regression,
probability, statistical inference, confidence intervals, and hypothesis tests with applications in
the real world. Students also have the opportunity to analyze data sets using technology.

Credit Awarded

4 hours of credit (some exceptions noted below)

Credit is not given for STAT 130 if the student has credit for STAT 101.

Course Materials


The Practice of Statistics in the Life Sciences (4th Edition) by Baldi and Moore.


An Achieve code linked to your Blackboard account is required for this course.  To ensure your Achieve code is properly linked to your blackboard account you should purchase your Achieve code through the link in Blackboard.  An Achieve code purchased through the link in Blackboard will include an electronic version of the textbook, buying a print copy is optional.


List of Topics Heading link

The following topics are covered in Stat 130
Chapter Topics
1 Picturing Distributions with Graphs
2 Describing Quantitative Distributions with Numbers
3 Scatterplots and Correlation
4 Regression
5 Two-Way Tables
6 Samples and Observational Studies
8 Designing Experiments
9 Essential Probability Rules
10 Independence and Conditional Probabilities
11 The Normal Distributions
12 Discrete Probability Distributions
13 Sampling Distributions
14 Introduction to Inference
15 Inference in Practice
17 Inference about a Population Mean
18 Comparing Two Means
19 Inference about a Population Proportion
20 Comparing Two Proportions