Introduction to Statistics (STAT 207)

جمع البيانات، التلخيص، الارتباط، الانحدار، الاحتمالية، أخذ العينات، التقدير، اختبارات الأهمية.

Total Lessonses 33 Total hours : 13:08:31 Duration Of Course 17 weeks
  • About the Course :

    It is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. 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, Statistics Graphs and Representing Frequency Tables, Mean-Median-and Mode, The Range-The Variance and The Standard Deviation, Coefficient of Variation, Moments and Measure of Skewness and Kurtosis, Correlation Measures, Simple Linear Regression, Correlations (Person, Spearman), Sample Space and Events, Counting Techniques Permutation and Combinations, Fundamental Basics of Probability, Addition Rule, Multiplication Rule, Definition of The Probability and Its Applications, Conditional Probability, Discrete Random Variable, Continuous Random Variable, Confidence Intervals, Normal Distributions.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Introduction to Statistics (STAT 207)
    * University Name : King Faisal University



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Total Lessonses 33 Total Hours 13:08:31 Duration Of Course 17 weeks
Definition and General View of Statistics and Organization and Presentation of Statistical Data
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
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
Statistics Graphs and Representing Frequency Tables
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 , and Mode
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 , The 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
Chebychaves Inequality
0:04:03
Closed
Recorded Session
Moments and Measure of Skewness and Kurtosis
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Correlation Measures
1 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
Simple Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Pearson and Superman Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Correlations (Person, Spearman)
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Sample Space and Events
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
Counting Techniques Permutation and Combinations
1 Lessons 0:25:11
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Fundamental Basics of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Addition Rule
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Multiplication Rule
2 Lessons 0:48:05
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 Probabbility Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probabbility Part 2
0:14:07
Closed
Recorded Session
Conditional Probability
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 Variables
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
Confidence Intervals
1 Lessons 0:18:22
Confidence Interval Estimation
0:18:22
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
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Saad IBRAHIM Aleidi
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علي محمد كمال
good job