APPLIED STATISTICS

AIM

This course aims to provide basic statistical techniques in order to collect, analyze and interpret data with emphasis on engineering applications.

CONTENT

This course contains; Introduction to Statistics and Data Analysis,Sampling Distributions,Sampling Distributions and Estimation,Confidence Intervals-Single Population I,Hypothesis Testing- Single Population I,Confidence Intervals- Two Populations I,Confidence Intervals- Two Populations II,Hypothesis Testing- Two Populations I,Hypothesis Testing- Two Populations II,Introduction to Correlation and Regression Analysis,Linear Regression Models,Linear Regression Models,Multiple Regression Models,Advanced Topics in Multiple Regression Models.

1. 1

   Construct and interpret graphical and/or numerical summaries of data.

   Taught by: Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam

2. 2

   Distinguish between a population and a sample.

   Taught by: Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Quiz

3. 3

   Construct confidence intervals for population characteristics

   Taught by: Problem Solving Method, Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Quiz

4. 4

   Construct hypothesis tests for population characteristics.

   Taught by: Problem Solving Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Quiz

5. 5

   Carry out correlation and regression analysis

   Taught by: Problem Solving Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Quiz

6. 6

   Use statistical package SPSS to carry out the statistical procedures discussed during the semester.

   Taught by: Demonstration Method, Lecture Method · Assessed by: Traditional Written Exam, Homework

WEEKLY PLAN

1. WEEK 1

   Introduction to Statistics and Data Analysis

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 1

2. WEEK 2

   Sampling Distributions

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 8

3. WEEK 3

   Sampling Distributions and Estimation

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 8

4. WEEK 4

   Confidence Intervals-Single Population I

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 9

5. WEEK 5

   Hypothesis Testing- Single Population I

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 10

6. WEEK 6

   Confidence Intervals- Two Populations I

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 9

7. WEEK 7

   Confidence Intervals- Two Populations II

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 9

8. WEEK 8

   Hypothesis Testing- Two Populations I

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 10

9. WEEK 9

   Hypothesis Testing- Two Populations II

   Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 10

10. WEEK 10

    Introduction to Correlation and Regression Analysis

    Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 11

11. WEEK 11

    Linear Regression Models

    Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 11

12. WEEK 12

    Linear Regression Models

    Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 11

13. WEEK 13

    Multiple Regression Models

    Preparation: Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson, CHAPTER 12

14. WEEK 14

    Advanced Topics in Multiple Regression Models

    Preparation: Lecture Notes

ASSESSMENT

• Rate of Midterm Exam to Success30%
• Rate of Final Exam to Success70%

WORKLOAD

READING

• Walpole, Myers, Myers, and Ye. "Probability and Statistics for Engineers and Scientists", Pearson.
• Douglas C. Montgomery & George C. Runger. "Applied Statistics and Probability for Engineers", Wiley

TEACHING STAFF

• Assist.Prof. Rüçhan Melisa DENİZ ÖZGENCOORDINATOR
• Assist.Prof. Rüçhan Melisa DENİZ ÖZGEN