Download Math 227, Statistics Fall 2008 Section 0282 Mc Gann

Math 227, Statistics
Fall 2008
Section 0282
Mc Gann
Text: A Brief Version of Elementary Statistics, Allan G. Bluman – 4th Ed.
Room: Math Center
Days: Tuesdays and Thursdays
Time: 1:30 pm to 3:35 pm
Attendance:
This is a difficult class. Attendance at every session is essential for success.
Homework:
Homework assignments and computer projects will be given on a regular basis. You are
responsible for completing these assignments in a timely manner.
Grades:
Grades are based on Chapter tests, quizzes, Minitab exercises and a final exam. There
will be four exams, each worth 20 points. You may elect to drop or not take one exam.
Quizzes and Minitab exercises are worth 15% and the final exam is worth 25%.
Note: There will be no make up exams, quizzes or computer assignments.
Minitab:
This course will include an introduction to the use of Minitab. We will complete a
Minitab assignment for each chapter. Ability to use Minitab will be part of your final
grade.
Calculator:
A quality calculator is essential for this course. See me before you buy one.
Tutoring:
Free tutoring is available at the Math Center and the Mathematics Lab.
Office hours:
My office hours are from 11:30 am to 12:00 noon and from 12:30 pm to 1:30 pm in the
Math Center. My e-mail is [email protected]. A phone number will be available
at a later date.
Learning Outcomes for Math 227
1) Classify branches of statistics, identify sources of data, evaluate sampling
methodolgies.
2) Construct pie charts, bar graphs and histograms, calculate central measures;
calculate the five numbers summary, calculate standard deviation.
3) Calculate probabilities, define random variables, calculate the mean and standard
deviation of binomial variables, calculate probabilties using the standard normal
distribution tables.
4) Apply the Central limit Theorem to calculate means and proportions, calculate
probabilities for the sampling distributions of the mean and proportion.
5) Use graphs to determine the shape of parent distributions and estimate the central
measures of populations.
6) Calculate confidence intervals, calculate sample size for means and sample
proportions.
7) Define and test hypotheses for the mean and proportion, apply the z- and t-tests
in hypotheses testing, calculate p-values.
8) Compare two proportions or two means and draw appropriate conclusions,
construct confidence intervals for two sample means and two sample proportions.
9) Calculate the correlation coefficient, determine the regression line.
Imprtant Dates:
Monday, Sept. 1
Tuesday, Sep. 2
Friday, Sep. 12
Friday, Sep. 26
Friday, Nov. 7
Monday, Nov. 10
Friday, Nov. 21
Thursday Nov. 27-30
Saturday, Dec. 13
Sunday, Dec. 14-20
Labor Day Holiday, college closed
Classes begin
Last day to add classes
Last day to drop classes without “W”
Last day for section transfers
Veterans Day, college closed
Last day to drop with a “W”
Thanksgiving Holiday, college closed
Classes end
Final exams week
FINAL EXAM TIME: Tuesday Dec. 16, 3:00 – 5:00 pm
The following is a tentative schedule but may be adjusted as needed.
Topics to be Covered
Sections from Text
Dates Taught
Computer Lab
Sept. 2, 4
Frequency Distribution and Graphs:
organizing data; graphs for categorical
data; graphs for grouped frequency
distributions; stem and leaf plots.
Chapter 2
Sections 2-1 to 2-6
Quiz #1
Sept. 2, 4, 9,11
Data Description: measures of central
tendency; measures of variation;
Chebyshev’s Theorem; Empirical Rule;
measures of position; the five- number
summary and boxplots.
Chapter 3
Sections 3-1 to 3-6
Sept. 16, 18, 23
Introduction to MINITAB
Test #1
Probability and Counting Rules: sample
spaces and probability; complements;
the addition rules; the multiplication
rules and conditional probability;
counting rules.
Chapter 4Sections 4-1 to
4-7
Quiz #2
Sept. 25, 30
Discrete Probability Distributions:
discrete random variables; probability
distributions; mean, standard deviation,
and expectation; binomial distribution.
The Normal Distributions: standard
normal; nonstandard normal; finding
scores when given probabilities;
applications; the Central Limit theorem;
the normal approximation to the
Confidence Intervals and Sample Size
(single parameter): mean; proportion.
Chapter 5
Sections 5-1 to 5-5
Oct. 2, 7, 9
Test #2
Chapter 6
Sections 6-1 to 6-7
Quiz #3
Chapter 7
Sections 7-1 to 7-4, 7-6
skip 7-5
Oct. 14, 16, 21,
23
Oct. 28, 30, Nov.
4
Test #3
Hypothesis Testing (single parameter):
mean; proportion; z-test; t-test; p-value
method.
Chapter 8Sections 8-1 to
8-5, 8-8 (skip 8-6 & 8-7)
Quiz #4
Nov. 6, 11, 13,
18
Correlation and Regression: use
Minitab, Megastat, or excel to find the
linear correlation and linear regression
equation.
Chapter 10
Nov. 20, 25
Sections 10-1 to 10-3,
10-5 (skip 10-4)
Test #4
Review for Final
Dec. 2, 4, 9, 11
Complete Computer Assignments
Final Exam
Dec. 16