Skip to Content

College of Arts & Sciences
Department of Statistics


STAT 112

112—Statistics and the Media. (3) Statistical and information literacy. Experimental and survey design; descriptive statistics; basic probability; simple confidence intervals and hypothesis tests; statistical software; collection, management, and evaluation of information; and presentation of statistics in the media. Credit given for only STAT 110 or STAT 112.

Course Homepage: STAT 112 homepage

Usually Offered: Fall and Spring Semesters

Purpose: To introduce students to basic statistical concepts and methods; to teach students modern methods for collecting information with regard to statistical studies from a variety of sources and to appropriately critique and report findings from those studies.

Current Textbook: Seeing Through Statistics (4th Edition) by Jessica M. Utts. Brooks/Cole Cengage Learning, 2015.

 

Topics Covered

Chapters

Time

Research Methods: Researching information, writing reports and appropriate citation (across semester)

all

2.0 weeks

Statistics – Benefits and Risks: Statistical terminology, data sources, measurement

1-3

1.0 week

Sampling: Why sample? Simple random samples, other sampling designs

4

1.0 week

Experimental Design: Experiment or observational study? Randomized comparative experiments; matched-pairs design, block designs; case studies

5-6

1.0 week

Describing Distributions: Tables and graphical displays; numerical summaries; normal distributions

7-9

2.5 weeks

Probability: Simple properties of probability, finding probabilities by simulation, lotteries, and expected value; personal probability

14-16

1.0 week

Sampling distributions: Diversity of samples; expectations; Central Limit Theorem

19

1.0 week

Confidence intervals: Population proportions; population means; comparing two population means

20-21

2.0 weeks

Significance Testing: Population proportions; population means; comparing two population means

22-24

1.5 weeks

Bivariate Relationships: Continuous – Association, correlation, regression, and prediction; Categorical – 2X2 tables

10-12

1.0 week

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Gail Ward-Besser, Maureen Petkewich