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COURSE SYLLABUS
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STAT 260:002 – Basic Statistics
Course Number
3470:260:008
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Time
12:15PM-1:30PM
BLDG/ROOM
KO 51
Office Hours and Phone Numbers of Instructor:
Instructor
Dr. Desale Habtzghi
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Days
TTH
Spring 2013
Office
Location
CAS 118
Office Phone
Email Address
(330) 972-8436 [email protected]
Office Hrs
TWTH 10:00-11:00 or
by appointment
Required Supplies:
Textbook and Materials: Text: Intro Stats, De Veaux, Velleman, Bock, Pearson/Addison Wesley
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Calculator: The TI-83 Plus or the TI-84 is recommended if the student intends to
purchase a calculator
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Course Description: A Conceptual approach to the basic ideas of statistics and statistical
thinking. Topics include: descriptive statistics, probability and uncertainty, statistical inference
and prediction, computer application of all of the forgoing.
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Course Objectives: In this course, students will develop the ability to :
 Calculate and interpret basic descriptive statistics.
 Expose the students to the ideas and concepts of statistics, probability and statistical models
used for decision support in different areas of their life.
 Describe and use properties of basic probability distributions.
 Perform statistical inference in the form of confidence intervals and hypothesis tests.
 Evaluate statistical information in the world around them.
 Analyze data using basic statistical methods.
 Provide a sound basis in statistics for the student’s future academic and professional careers.
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Attendance: Attendance will be taken on some random days in the semester. Students are
responsible for all material covered in class. If you are absent make arrangements with a
classmate to borrow the notes and any handouts from them.
Homework and quizzes: Homework will be assigned on Tuesday and will be collected the
following Tuesday. Homework will be used for class discussion, quizzes and on tests. Any
homework turned in late has no guarantee of being graded. There will be approximately 10
homework assignments, 8-10 activities/ group work assignments during the semester.
Activities/group work will be given in class. The homework assignments, activities/group work
and lab are important components of this course. Homework, activities/group work and lab
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together count for 200 points of the course grade. Absolutely no make-ups are given for in-class
activities or group work assignments collected. However, at the end of the semester, one
activity/group work grade will be dropped to compute the activity/group work average.
Note: Group work assignments, quizzes may be announced or unannounced
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Computer Lab: You are required to attend lab at your assigned computer lab time each
week. Lab is held in CAS 108/109. The purpose of the computer lab is to give students hands on
experience in using and analyzing statistics with real data. You will be working with a statistical
package called Minitab. No experience is needed.
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Seeking help: If you need additional help, please use my office hours or make an appointment
with me. In addition, the Department of Statistics provides graduate student tutors in room CAS
125. (Check the posted schedule for availability). This is a wonderful resource and I recommend
that you schedule your time so that you can get help from the graduate assistants. Forming small
study groups to work outside of class has been found to be an effective way of learning Statistics.
Make sure that when working in groups you work toward understanding the concepts which the
problem is dealing with, Not just getting the answer.
Exams: There will be 4 exams including the final in this course
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Tentative exam dates:
Test Dates :
 Test 1 Feb 7
 Test 2 March 7
 Test 3 April 11
 Final ; May 6, 8:00am to 9:55 am in SHS 145
Exam make-up policy: Students will be permitted to make up exams provided they have a
University excuse (e.g., medical) or other legitimate excuse that the instructor has OK'd prior to
the missed exam.
11. Grading :
Course work
Exam 1-3 ( Midterm exam)
Final exam
Homework, activities/group work
Weight
300 points
120 points
100 points
Lab work
100 points
A total of 620 points is possible in the class. The following grading scale will be used:
Grade Scale : 90% - 100% A, 80% - 89% B, 65% - 79% C, 55% - 64% D, 0% - 54% F
A plus or minus grade may be given if your course total falls just below one of the cutoffs.
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12. Add/Drop/Withdraw policy:
No signatures needed
Add
Instructor, Advisor Dean
sign.. needed
Last day to
add
January 14-January 20
Last day to drop without “WD”
January 21-28
Drop/withdraw
Last day to withdraw from
class
January 28
January 28
March 3
Important days
Spring break
March 25-31
Final Instructional day May 5
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Cell Phones: Cell phones are not permitted to be used in the classroom -- that includes
texting.
Topic Outline by Week – Suggested Problems in (…)
Week 1 : Ch1, Ch2 Population, Sample, Categorical Quantitative (1, 3, 13, 15, 21, 23) Ch3
Freq Table, Bar Charts, Pie Charts, Conditional (6, 7, 15, 29, 33, 34)
Week 2 : Ch4 Histogram, Stem and Leaf, Dot Plots, Shape (symmetric skewed left right)
Center (median, mean- parameter and Statistic), Spread (range, quartiles (odd-median in both
halves), define percentiles – find quartiles,IQR, Variance, Standard Deviation- parameter and
Statistic) (9, 11, 10,13, 14, 18, 23, 24, 29, 34, 37, 41)
Week 3 : Ch 5 Box Plots, Fence Outliers (5, 6, 8,22, 34, 44) Box plots, 52 Box Plots
Outliers) Ch7 Scatterplot (positive, negative and no association) (6,11,12), Ch 12 Parameter
Statistics, Sampling Frame, Simple Random Sample, Stratified Sample, Systematic Sample,
Cluster Samples (1, 3, 4), Ch 6: Z scores-number of sd above or below the mean (7,10).
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Week 4 : Review Test 1
Week 5: Ch14 Sample Space Event, LLN, Relative Frequency Approach, Properties (1, 2,
11, 25, 26, 32) Ch15 Event Operations and Probability (or, and), use contingency Tables,
Marginal and Cond. Prob , Independence P(A|B) = P(A) (5, 6, 27, 31)
Week 6 : Ch 16 Random Variables, Discrete, Probability Model (Prob table), Continuous,
Expectation, Variance and Standard Deviation (no Computation) (1, 2, 4, 6), Ch 17 Binomial
Model (setting, parameters, mean) (Binomial yes or no 1, 2), Ch 6 Z Scores, Normal,
Standard Normal , N(,), Percentiles (39, 40, 43, 44, 47)
Week 7: Ch 18 Sampling Distribution, Sample mean example, Central Limit Theorem
(proportions and means) , SD(.) (3ab, 4ab, 31ab)
Week 8 Review , Test 2
Week 9: Ch 19 Confidence Interval for Proportions, Margin of Error, Sample Size (4, 7, 11,
13, 33, 35), Ch 20 and 21 Hypothesis Testing For Proportions, Hypotheses (Null and
Alternative), Test Statistic, P – Value, Conclusion, Type I Error, Type II Error , Significance
(Ch 20 :1, 2, 13, 14, 15 Ch 21 : 1, 2 17, 25, 26)
Week 10 : Ch 23 t – tables, t –Mean Confidence Interval, t – Test one Mean, Range for P –
Value (1, 14bce, 17ac, Run t test  = .05 for 31, 32, 37)
Week 11 : Ch 25 Paired Data, t – test, Confidence Interval (5b run test  = .05, 24 sd = 7.44
a) 95% CI b) test for improvement = .05, 25, 26n = 10 sd = 1.41, 29, 31)
Week 12 : Review Test 3
Week 13 : Ch 24 Inference Difference of Two Means, Confidence intervals and Hypothesis
Tests, Modified df = smaller of n1 – 1 and n2 -1. (4, 7, 12, 13, 31 = .05, 35ab, 42, 43).
Week 14 : Ch 26 Goodness of Fit Chi Square Distribution, Test of Independence (2, 3, 4, 29,
30)
Ch 8 Regression (Notations, scatterplots, Point Estimators, Prediction, Test of Slope,
Correlation – All From Print outs
Week 15 : Regression, General Review
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