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Grant MacEwan University

Introduction to Statistics

Stat 141 ( AS01)

Fall 2011

Instructor:

Office:

Phone:

E-mail:

Dr. Karen Buro

5-107C

780-633-3911 change to your phone number burok@macewan.ca

Web Page(s): http://bb.macewan.ca

http://academic.macewan.ca/burok/

Office Hours:

Lecture Time:

Lecture Room:

Course Hours:

MWF 11 - 11:50

MWF 8 - 8:50

CCC 5-215

Lecture 45 Lab 0 Seminar 0

Course Description: The course introduces students to the theory and application of statistics. Topics include: data description; probability theory; discrete and continuous random variables and their distributions; sampling distributions; elementary inference for population means and proportions; Goodness-of-Fit Test; Chi-Squared test for contingency tables; regression and correlation analysis; and analysis of variance. Note:

Credit can only be obtained in one 100-level STAT course or SOCI 210 or PSYC 211.

Course Objectives: The course provides an introduction to elementary concepts and techniques from Statistics which have applications to Science, Engineering,

Business, and Social Sciences. Students will become familiar with basic data analysis and learn how to draw inferences from sample data.

Course Prerequisite: Pure Math 30 or pass the Stat 141 advisory exam.

Course Co-requisite: None

Required Learning Materials: Text book: The Basic Practice of Statistics (5th edition) by David S. Moore, published by Freeman

Other Learning Resources: Non-programmable scientific calculator

Homework Assignments:

All problems referred to are from the textbook. Your work should be neat and easy to read. Graders may deduct marks for work that is messy and difficult to follow. Staple the pages together . The completed homework assignment must be handed at the beginning of the class, on the due. Late assignments are not accepted.

Make sure to write your name, Student ID, and lecture section on the front page of your assignment. Marked assignments will be returned in class. Solutions will be posted on

Blackboard on the posting date.

1

Assignment

Number

3

4

1

2

5

6

7

8

9

Problems

7.1, 1.4, 1.14,1.34,1.38, 2.6 (for c use also the

1.5xIQR rule), 2.10 (a)-(b), 2.12, 2.50

4.2, 4.8, 4.26, 4.34, 4.44, 5.28, 5.36

10.8, 10.12, 10.36, 10.46, 10.49, 10.50, 12.4,

12.6, 12.12, 12.38, 16.24, 16.26

3.1, 3.6, 3.12, 3.34, 3.36, 3.37, 7.18, 8.4, 8.14,

8.46, 9.31

11.8, 11.12, 11.26, 11.34, 11.38, 14.4, 14.54, 15.4

14.56, 15.12, 15.30, 16.18, 16.21, 16.44, 16.50,

17.26, 17.28

17.8, 17.29, 17.38, 17.42, 18.25, 18.42, 21.25,

21.26

19.9, 19.26,19.36, 19.44, 20.4, 20.21, 20.23,

20.30

22.14, 22.30, 22.41, 24.2, 24.14, 24.30, 23.4,

23.10

Due Date Solutions

Posting date

Friday Sep

23

Monday Sep

26

Friday Sep

30

Friday Oct

7

Friday Oct

21

Friday Oct

28

Monday

Oct 3

Monday Oct

10

Monday Oct

24

Monday Oct

31

Friday Nov

4

Friday Nov

18

Friday Nov

25

Monday

Dec 5

Monday Nov

7

Monday Nov

21

Monday Nov

28

Tuesday Dec

6

Grade Evaluation:

Term Examination(1)

Term Examination(2)

Final Examination

Assignments

25%

25%

35%

15%

100%

Examination Dates:

Term examination 1: Oct 10-14 (in class)

Term examination 2: Nov 7 (in class)

Final examination: Dec 12 AM (in the gym)

(Note: Students are responsible for verifying the date of the final examination when the final examination schedule is posted later in the term.)

Format of Examinations:

All exams are closed book. The final exam is cumulative with more emphasis on post midterm exam materials. It might include short answers as well as multiple choice type problems.

Format of Examinations: written

2

Final Grade:

A+

A

A-

B+

B

B-

C+

C

C-

D+

D

F

95-100

90-94

85-89

80-84

75-79

70-74

65-69

60-64

55-59

50-54

45-49

0-44

Please Note:

1.

Official final grades can be accessed through MyStudentSystem. Grant MacEwan

University adheres to the Alberta Common Grading Scheme, which is a letter grade system. While instructors may use percentages to aid in their grade development, only the letter grade will appear on transcripts.

2. A minimum grade of C- is required to receive transfer credit or to satisfy a prerequisite for a higher level course.

3.

In order to obtain a C- or better in the course, a student must obtain minimum of 40% on the final examination.

a

Student Responsibilities:

Students are expected to be aware of their academic responsibilities as outlined in the Students’ Rights and Responsibilities section in the

University Calendar.

1.

ACADEMIC INTEGRITY: All forms of student dishonesty are considered unacceptable. MacEwan’s Academic Integrity policy (C1000) promotes honesty, fairness, respect, trust, and responsibility in all academic work. According to the policy, “Academic dishonesty involves participating in acts by which a person fraudulently gains or intentionally attempts to gain an unfair academic advantage thereby compromising the integrity of the academic process”. All incidents of academic dishonesty are reported and recorded by the Office of Academic

Integrity. The penalties and sanctions for academic dishonesty can include the following: a mark reduction up to zero on a piece of academic work, a grade reduction up to an F in the course, and suspension or expulsion (with transcript notation) from the University. Please see the academic policy at http://www.macewan.ca/web/services/ims/client/upload/C1000%20Aca demic%20Integrity.pdf

for more details. You are responsible for understanding what constitutes academic dishonesty.

2.

REGISTRATION STATUS: You are responsible for your registration status at the University. Program Advisors may assist you with the process of registration,

3

including adding or dropping of courses, but it is your responsibility to verify that these changes have been officially completed. This verification can be done at any time using Web Advisor. You should check your official registration status before the last date to officially withdraw from the course.

3.

WITHDRAWING FROM THE COURSE: If you stop attending class you must complete a Course Drop Form, have it signed by a Science Advisor, and submit it to the Registrar’s Office by the last day to withdraw as provided in the

Academic Schedule in the University Calendar. Failure to officially withdraw will result in a grade being assigned based on course work completed. Late withdrawals are only allowed for exceptional circumstances.

4.

ATTENDANCE AND PUNCTUALITY: Attend each lecture and lab. Take notes even you don’t understand fully. Please read the assigned materials before the lecture. Students are responsible for the materials covered in the class.

5.

EXAMINATIONS: Your student photo I.D. is required at examinations. It is at the discretion of the instructor whether you will be allowed to write the examination if you arrive over 15 minutes after the examination has begun. You must remain in the examination room for at least 20 minutes from the time it commenced. Electronic equipment (iPods, cell phones, etc.), other than calculators that have been approved by the instructor, is not allowed to be used during examinations. Permission to use the washroom during examinations is at the discretion of the instructor and may require accompaniment.

6.

MISSED TERM EXAMINATIONS: If you miss a term examination you must provide the instructor with an explanation within 24 hours or a mark of zero may be given. Notification may be provided through e-mail, voice mail, or direct contact with the instructor. Official documentation as to why the examination was missed will be needed to assess whether your absence will be excused or not.

If your absence is excused the weight of this examination will be added to the weight of the final examination in the course. Medical excuses must include the date you were examined, the specific dates for the period of the illness, a clear statement indicating that the severity of the illness prevented you from attending school or work, and the signature of the examining physician (a signature by office staff on behalf of the physician is not acceptable). Medical notes obtained subsequent to the date of the examination are generally not accepted. A mark of zero will be given if the instructor considers the excuse inappropriate or inadequately substantiated.

7.

DEFERRED FINAL EXAMINATIONS: A deferred examination will be granted if a student misses the final lecture examination for reasons considered by the Science Department to be unavoidable (deferred examinations do not apply to term or laboratory examinations). An application for a deferred examination must be provided to the Science Department no later than two business days after the date of the missed final examination. Application forms are available from the Science Office and must be submitted with appropriate documentation. Students should advise the instructor prior to the examination if they know beforehand that they will be unable to attend the scheduled examination time. Deferred examinations are granted by a Chair in the Science

Department, not by the course instructor. If you have any questions about the process please call the Science office at 780 497 5786.

4

8.

LATE ASSIGNMENTS: Medical and other excuses are generally not accepted as a reason for late assignments as due dates for these assignments are generally known in advance.

9.

CELL PHONES: Cell phones are to be turned off during lectures, laboratories, seminars, and examinations (except under exceptional circumstances in which approval has been given by the instructor).

10.

STUDENTS WITH DISABILITIES: Students with disabilities who may have special requirements in this course are advised to discuss their needs with

Services to Students with Disabilities located in the Student Resource Centre. You should advise the course instructor(s) of any special needs that are identified. See

Policy E3400 Students with Disabilities.

11.

STUDENT APPEALS: The University has a policy regarding Student Appeals

(E3103). You should access this policy to become aware of the deadlines and guidelines that need to be followed if you are appealing a grade or other

University assessment.

12.

M

Y

M

AIL

.M

AC

E

WAN

E

MAIL

: All students are given a

<name> @mymail.macewan.ca e-mail address. This e-mail address is available to the course instructor who may distribute relevant course information or announcements via e-mail. The Bachelor of Science Program regularly communicates with the students via e-mail. Check your mymail.macewan.ca email regularly or forward it to an e-mail address you check regularly. If you use email to communicate with your instructor you must use your mymail account.

This is to protect your privacy; if a non-mymail account is used, there is no way for an instructor to verify the identity of the sender.

13.

Calculators: Students can use a non-programmable scientific calculator for their homework and examinations.

14.

Disclaimer: The information in this Course Outline is subject to change; any changes will be announced and distributed to the class

5

Lecture Topics:

Week

1. Sep 5-9

No classes on Sep 5

2. Sep 12-16

3. Sep 19-23

4. Sep 26-30

5. Oct 3-7

6. Oct 10-14

No class on Oct 10

7. Oct 17-21

Tentative Lecture Schedule for Stat 141

Sections

Chapter 1

Chapter 1(cont'd)

Chapter 2

Chapter 4

Chapter 5

Chapter 10 (until page 271)

Chapter 12

Chapter 10 (from page 271)

Chapter 3

Chapter 13 (optional)

Chapter 8

Chapter 9

Chapter 11

Description

Picturing Distributions with Graphs

Individuals and variables, Categorical variables: Pie charts and bar graphs, Quantitative variables: histograms

Interpreting histograms, Quantitative variables: stemplots

Describing Distributions with Numbers

Measuring centre: mean, median,

Comparing mean and median,

Measuring spread: the quartiles, Fivenumber summary and boxplots

Measuring spread: standard deviation, Choosing measures of center and spread

Scatterplots and Correlation

Explanatory and response variable, scatterplots,

Interpreting scatterplots, Measuring linear association: correlation

Regression

Regression lines, the least-squares regression line,

Facts about least-squares regression, Caution about regression and correlation

Homework Assignment 1 due

Introducing Probability/General Rules of

Probability

The idea of probability, Probability models,

Probability rules

Independence and multiplication rule, General addition rule, Conditional probability, General multiplication rule, Independence again

Discrete and Continuous probability models,

Random variables

Homework Assignment 2 due

Normal distributions: Density curves, Normal distributions The 68-95-99.7 rule, The Standard

Normal distribution, Finding Normal proportions,

Using the table. Finding a value given a proportion

Homework Assignment 3 due

Binomial distributions

Producing Data: Sampling

Population versus sample, Simple random samples,

Inference about the population, Other sampling designs,

Producing Data: Experiments

Observation versus experiment, Subjects, factors, treatments, Randomized experiments

Midterm 1, Friday October 14 (chapters

1,2,4,5,10,12)

Sampling Distributions

6

8. Oct 24-28

9. Oct 31-Nov 4

10. Nov 7-11

No classes on Nov 11

Thursday 10 last day to withdraw without academic penalty

11. Nov 14-18

12. Nov 21-25

13. Nov 28-Dec 2

14. Dec 5-6

Chapter 14 (until page

366)

Chapter 14

Chaper 15

Chapter 17

Parameters and statistics, Law of large numbers,

Sampling distributions

The sampling distribution of the sample mean,

Central Limit Theorem

Introduction to Inference: Confidence intervals

Homework Assignment 4 due

Introduction to Inference: Tests of significance

Thinking about Inference: Conditions for inference in practice, How confidence intervals behave, How significance tests behave, Sample size for confidence intervals, Type I and Type II errors

Inference about a Population Mean

Conditions for inference about a mean, The t distributions, The one-sample t confidence interval

Homework Assignment 5 due

Chapter 17

Chapter 18

Chapter 19

Chapter 20

Chapter 22

Chapter 22

Chapter 24

Chapter 23

Review

Inference about a Population Mean

The one-sample t test, Matched pairs t procedures,

Two-sample Problems, Comparing two population means, Two-sample t procedures

Homework Assignment 6 due

Inference about a population proportion,

Inference about a sample proportion, Large-sample and accurate confidence intervals, Choosing the sample size, Significance test for a proportion,

Midterm 2: Monday Nov 7 (chapters 3,

8,9,11,14,15,17(t-confidence interval))

Comparing Two Population Proportions

The sampling distribution, Large-sample and accurate confidence interval, Significance test for comparing two proportions

Two categorical variables

Two-way tables, Multiple comparison, Expected counts, The chi-squared test statistic, Cell counts required

Homework Assignment 7 due

Two categorical variables

Uses of the chi-squared test, The chi-squared distribution, Goodness of Fit Test

One-way Analysis of Variance: Comparing several means

Comparing several means, The analysis of variance F test, The idea of analysis of variance, Conditions for

ANOVA, F distribution and degrees of freedom

Homework Assignment 8 due

Inference for Regression

Conditions for regression inference, Estimating the parameters, Testing the hypothesis of no linear relationship, CI for the slope, Inference about prediction, Checking conditions for inference

Catch-up and review,

Final Examination period begins on Dec 7

Homework Assignment 9 due

7

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