Probability and Statistics for Engineering and Science (STAT 219)

وصف الدورة: هذه دورة تمهيدية في الإحصاء تستهدف الطلاب من مجموعة واسعة من التخصصات. تشمل الموضوعات التي يتم تناولها تمثيل البيانات ووصفها، والمنحنى الطبيعي، والانحدار، والاحتمالات، والاستدلال الإحصائي، وفترات الثقة، واختبار الفرضيات باستخدام تطبيقات العالم الحقيقي. يتمتع الطلاب أيضًا بفرصة تحليل مجموعات البيانات.

Total Lessonses 44 Total hours : 17:05:60 Duration Of Course 17 weeks
  • About the Course :

    Course Description: This is an introductory course in statistics aimed at students from a wide range of disciplines. Topics covered include the representation and description of data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis testing with real-world applications. Students also have the opportunity to analyze data sets.




  • You Will Learn :

    Definition and General View of Statistics and Organization and Presentation of Statistical Data, Frequency Distributions, Representing Frequency Tables and Statistics Graphs, Mean- Median and Mode of The Simple Data and the Frequency Distribution, The Range Variance and The Standard Deviation, Coefficient of Variation, Correlations (Person, Spearman), Sample Space and Events, Sets and Operations on Sets, Counting Techniques, Fundamental Basics of Probability, Addition Rule, Multiplication Rule, Definition of The Probability and Its Applications, Conditional Probability and Bayes Theorem, Continuous and Discontinues Probability Distributions, Discrete Random Variable, Continuous Random Variable, Normal Distributions, Confidence Intervals, Testing Hypotheses.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Probability and Statistics for Engineering and Science (STAT 219)
    * University Name : Mustaqbal University




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Student Assignments

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Total Lessonses 44 Total Hours 17:05:60 Duration Of Course 17 weeks
Frequency Distributions
2 Lessons 0:38:57
Organization of Data Part 1
0:25:07
Show
Recorded Session
Organization of Data Part 2
0:13:50
Show
Recorded Session
Representing Frequency Tables and Statistics Graphs
2 Lessons 0:40:26
Graphical Representation Part 1
0:26:29
Closed
Recorded Session
Graphical Representation Part 2
0:13:57
Closed
Recorded Session
Mean, Median, Mode of The Simple Data, and The Frequency Distribution
3 Lessons 1:03:07
Measures of Central Tendency Part 1
0:23:59
Closed
Recorded Session
Measures of Central Tendency Part 2
0:25:57
Closed
Recorded Session
Measures of Central Tendency Part 3
0:13:11
Closed
Recorded Session
The Range Variance and The Standard Deviation
2 Lessons 0:50:06
Measures of Variability Part 1
0:26:50
Closed
Recorded Session
Measures of Variability Part 2
0:23:16
Closed
Recorded Session
Coefficient of Variation
1 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
Correlations (Person, Spearman)
4 Lessons 1:11:04
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Poison Probability Distribution Correlations
0:08:37
Closed
Recorded Session
Linear Regressionr
0:08:37
Closed
Recorded Session
Linear Regression and Correlation
0:17:58
Closed
Recorded Session
Sample Space and Events
2 Lessons 0:45:19
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Probability
0:19:39
Closed
Recorded Session
Sets and Operations on Sets
1 Lessons 0:24:32
Sets
0:24:32
Closed
Recorded Session
Counting Techniques
1 Lessons 0:25:11
‏Permutation and combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
2 Lessons 0:48:08
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Fundamental Basics of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Addition Ruleand and Multiplication Rule
3 Lessons 0:48:05
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Addition and Multiplication Rules part 1
0:23:49
Closed
Recorded Session
Addition and Multiplication Rules part 2
0:24:16
Closed
Recorded Session
Definition of The Probability and Its Applications
2 Lessons 0:44:18
Definition and Concept of Probability 1
0:30:19
Closed
Recorded Session
Definition and Concept of Probability Part 2
0:14:07
Closed
Recorded Session
Conditional Probability and Bayes Theorem
3 Lessons 1:17:30
Conditional Probability and Independence Events Part 1
0:31:20
Closed
Recorded Session
Conditional Probability and Independence Events Part 2
0:25:26
Closed
Recorded Session
Conditional Probability and Independence Events Part 3
0:20:45
Closed
Recorded Session
Discrete Random Variable
1 Lessons 0:20:10
Discrete Random Variable
0:20:10
Closed
Recorded Session
Continuous Random Variable
2 Lessons 0:47:40
Continous Random Varible Distribution Part 1
0:31:00
Closed
Recorded Session
Continous Random Varible Distribution Part 2
0:16:40
Closed
Recorded Session
Bernoulli trails
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Distributions
2 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
The Negative Binomial Distribution
0:07:13
Closed
Recorded Session
Poison Distribution
1 Lessons 0:14:14
Poison Distribution
0:14:14
Closed
Recorded Session
Normal Distributions
2 Lessons 0:53:09
The Normal Distribution Part 1
0:29:10
Closed
Recorded Session
The Normal Distribution Part 2
0:23:59
Closed
Recorded Session
Z _Score
1 Lessons 0:25:13
Z _Score
0:25:13
Closed
Recorded Session
Testing Hypotheses
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
Chebychaves inequality
1 Lessons 0:04:03
Chebychaves Inequality
0:04:03
Closed
Recorded Session
Confidence Intervals
2 Lessons 0:27:33
Confidence Interval Estimation
0:18:22
Closed
Recorded Session
Confidence Interval on the Difference in Mean Variance Unknown
0:09:11
Closed
Recorded Session
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Academic University Student


Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job