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
 
 Data Production:
 
- 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

 

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