COURSE MATERIALS
TEXTBOOK: The Basic Practice of Statistics, Fourth Edition; David Moore; W. H. Freeman and Company
• The CD-ROM that accompanies the text will be used throughout
the semester. It contains data sets and for many problems that can be
loaded into an Excel spreadsheet or onto a TI-83 or TI-84 calculator.
CALCULATOR: A calculator that does two-variable statistics is
required for this course. It must be able to calculate means, medians,
standard deviations, least-squares regression lines, correlation
coefficients, normal distributions, t distributions, z-tests, t-tests, and χ2-tests.
A TI-83 or TI-84 calculator is recommended because they will be used
for in class demonstrations and the book provides support for these
calculators. If you use a calculator other than the TI-83 or TI-84, you
will be responsible for learning how to use it. Each student must have
their own calculator. Sharing calculators will not be allowed on tests
and exams.
COMPUTER: Computers will be used throughout the semester. We
will make use of the computer labs occasionally during class time, and
you will have some homework that requires the use of a computer. The
primary software that will be used is Microsoft Excel. You will also
need the CD-ROM included with the textbook.
COURSE CONTENT
Statistics is the science of data. This course will cover
thinking critically about data, selecting and using graphical and
numerical summaries, applying standard statistical inference procedures
and drawing conclusions from the analyses.
Data Analysis:
- Methods and strategies for exploring, organizing, and describing data using graphs and numerical summaries.
-Picturing distributions with graphs – pie charts, bar graphs, histograms, stem plots, time plots, box plots and scatterplots.
-Describing distributions with measures of central tendency
(mean, median), measures of spread (quartiles, standard deviation,
outliers)
-Analyzing normal distributions
-Measuring linear relationships using correlation and least-squares regression
- Sampling methods
Statistical Inference:
-Describing variation and uncertainty using general probability rules and sampling distributions
-Determining confidence intervals and sample size
-Using tests of significance – z, t (one-sample, two-sample, matched pair), χ2
-Evaluate inferences for least squares regression
-Comparing means using Analysis of Variance (ANOVA)
COURSE EVALUATION
Your course grade for the semester will be based on the following:
Attendance: 5%
Book Assignments: 20%
Problem Sets and Projects: 20%
Quizzes: 15%
Tests: 25%
Final Exam: 15%
Course grade will be based on overall percentage as follows:
93 - 100% A 73 - 76% C
90 - 92% A- 70 - 72% C-
87 - 89% B+ 67 - 69% D+
83 - 86% B 63 - 66% D
80 - 82% B- 60 - 62% D-
77 - 79% C+ 0 - 59% F