**MATH 260** ** **

**Introduction to Statistics**

*“**Until
the phenomena of any branch of knowledge have been submitted to a measurement
and number it cannot assume the status and dignity of a science” -Francis Galton*

**Fall 2017**

**Instructor:** * Dilek Guvenc*

Room: *SA-105**(Faculty of Science
A-Block),** **ext:
2132*

E-mail :

Office Hours

**Assistant:**

**Class
Schedule:**

*
Section 01
Tuesday 10:40 -
12:30 Room # G 236*

*
Friday 9:40 -
10:30 Room # G 236*

**Textbook:**

*Probability
and Statistics for Engineers** *

*Richard L. Scheaffer, Madhuri
S. Mulekar, James T. McClave;
5-th Edition Cengage Learning, 2011*

* *

**Exams & Grading :** *1st Midterm (27%) ** *

*Date:
November 3, 2017 (Friday ) *

*Time: 17:45*

*2nd Midterm
(27%)*

* Date:
December 12, 2017 (Tuesday ) *

*Time: 17:45*

* Final
Exam (34%)**Will be scheduled...*

*Attendance: **Attendance will be taken regularly.*

*Homeworks ( 12% )** **There will be 6 homeworks
throughout the semester**. Homeworks will be emailed
on Tuesday of homework-weeks
(See syllabus below), they will be collected one week later and
solutions of the homework questions will be emailed to the students.*

* ***IMPORTANT**

· *Student will
be qualified to take the final exam if his/her total is at least 20 over
66, by the last day of the classes.*

· *Students
who do not have least total score of 20 over 66 will be given an FZ grade.*

· *Students** who have missed a midterm exam and have valid,
well-documented excuse can take a makeup of it. A single makeup exam will be
given few days after the second midterm exam.*

· *Reserved 4-th hour will be used in some weeks, this will
be announced in the class.*

§ *Usage of a statistical software such as MINITAB is encouraged.*

· *This** course is not a regular math course! It involves
qualitative thinking and more words**than
other mathematics courses. *

§
*Following and understanding the lectures is
necessary but not sufficient for understanding the material. The best way for
that is to do more problems, especially "supplementary exercises"
from the textbook.*

* *

**Syllabus: **

*Week
Subjects*

*1. Sept. 18 ** Tools
for Describing Data. *

*2. Sept. 25** The Sampling
Distribution of Sample Mean, Sample
Proportion and Sample Variance. (Hw
1)*

*3. Oct. 2** Point Estimators.
Properties of Point Estimators. The Method of Maximum Likelihood. *

*4. Oct. 9** Confidence Intervals: The
Single-Sample Case, Prediction Intervals. (Hw2) *

*5. Oct. 16** * *Confidence Intervals: The Multiple-Sample Case. *

*6. Oct. 23** Hypothesis
Testing: The Single-Sample Case (Hw 3)*

*7. Oct. 30 ** Review, Applications & the First
Midterm *

* ( Friday, November 3, 2017 @ 17:45 )*

*8. Nov.. 6** Hypothesis
Testing: Multiple-Sample Case *

*9. Nov. 13** Chi-Squared Tests on Frequency Data.
(Hw 4)*

*10. Nov. 20** Simple Regression. Probabilistic Models Fitting the
Model:* * The Least-Squares Approach , The Probability
Distribution of the Random Error Component. *

*11. Nov. 27** Making
Inferences about the Slope . The Coefficient of Correlation. The Coefficient of Determination.
(Hw 5)*

*12. Dec. 4** Review, Applications and the Second
Midterm. *

* (Friday,
December 8, 2017 @ 17:45)*

*13. Dec. 11 **Using the Model for Estimation
and Prediction. Residual Analysis. Transformations. Multiple
Regression*

*14. Dec. 18 **Multiple Regression*
*Analysis
(Cont.). *

*& FINALS...*