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Course Code	Stat 203	رقم المقرر ورمزه
Credit Hours	3	الوحدات الدراسية
Level	4th Level الرابع	المستوى
Prerequisite	Stat 202	المتطلب السابق

Course Descriptions وصف محتويات المقرر

Introduction and overview of Definition of the probability,  Definition of the random variable – the probability function of the  discrete   random variable  - the density probability function of the continuous random variable, The Expectation and the variance of the random variable (Discrete and Continuous), Discrete probability Distributions (Bernoulli, Binomial and Poisson), Continuous probability distribution (Normal distribution and its application). -  Approximate probabilities for some binomial and Poisson distributions, Other probability distributions: uniform, exponential, and gamma distributions, functions of random variables- mathematical expectation- the moment generating function, Properties of mathematical expectation.

بعض التوزيعات الاحتمالية الهامة . المتغيرات العشوائية الثنائية . دالة الاحتمال المشتركة (المتقطعة – المتصلة ) . الاستقلال والتوزيعات الشرطية . التوقع وخصائصه . التغاير ومعامل الارتباط . مجموع المتغيرات العشوائية . الدالة المولدة للعزوم . المعاينة العشوائية . توزيع متوسط العينة العشوائية . قانون الاعداد الكبيرة . نظرية النهاية المركزية . التقدير بنقطة وخصائصه . - التقدير الإحصائي (بنقطة – بفترة) لمعالم المجتمع- التقدير بطريقة العزوم -  التقدير بطريقة الإمكان الأعظم MLE .

Course components (total contact hours and credits per semester)
Credit		Contact     Hours				Self-Study	Other	Total
ECTS	NCAAA	Lecture	Tutorial	Laboratory	Practical
5 cp	3 ch	30	15	0	0	78	11	134 ch

Objective: This course is designed to

·         Follow on from, and reinforce, a level mathematics.

·         Present students with a wide range of mathematics ideas in preparation for more demanding material later.

·         Enable students to apply Mathematical tools/ techniques to product project Broaden skills in team work, critical thinking, communication, planning and scheduling through design project

·         Enable students to consider safety, ethical, legal, and other societal constraints in execution of their design projects

Outcomes:

1. Know how a team can use the Statistical Inference process to carry out a project

2. Solve open-ended problems, cope with decision making and satisfy competing objectives

3. Apply knowledge, as needed, to design a satisfactory system to achieve a final successful project

4. Prepare a needs-assessment and define a deliverable for a project

5. Understand the impact of aesthetic and human aspects

6. Use and integrate the fundamentals studied previously towards the goal of analyzing and designing project to achieve

7. Deliver a final oral presentation for their project.

8. Produce final design report as part of their deliverable

9. Use appropriate software for project, modeling, and analysis

References:

1. Applied Statistics and Probability for Engineers. Seventh edition D.C. Montgomery & G. C. Runger John Wiley & Sons. 2011: 13:978 -0-470-05304-1

2.  A Modern Introduction to Probability and Statistics Frederik MIChel Dekking Cornelis Kraaikamp Hendrik Paul Lopuhaa ¨Ludolf Erwin Meester Springer-Verlag London Limited : 2005: 13: 978-1-85233-891-1

المحاضرات

Download		Lecture Name
PPT	PDF	1 Lecture
PPT	PDF	2 Lecture
PPT	PDF	3 Lecture
PPT	PDF	4 Lecture
PPT	PDF	Lecture 5
PPT	PDF	Lecture 6
PPT	PDF	Lecture 7
ppt	PDF	Lecture 8

Tests  نماذج إختبارات

Semester الفصل الدراسي	Academic Year العام الدراسي	Download تحميل
Final 1st الأول	1432	PDF
Mid-term Exam اختبار فصلي	1433	Docx
Final 2nd الثاني	1433	PDF
Final 2nd الثاني	1435	PDF

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Questions Bank Probability Distribution Theory Stat 202

Questions Bank- STA 101

Questions Bank-STA 224

Questions Bank- STAT 212

Questions Bank- STAT 202

Videos Related to the Course  محاضرات مصورة مرتبطة بالمقرر