Introduction to Statistics (STAT 100)

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

Total Lessonses 44 Total hours : 16:32:49 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 :

    Descriptive- Inferential Statistics and Variables and Types of Data, Data Collection and Sampling Techniques, Organizing Data Categorical Frequency Distributions Grouped Frequency Distributions, Box Plot -Stem and Leaf Plots, Measures of Central Tendency, The Weighted Mean and Distribution Shapes, Range- Variance -and Standard Deviations, Coefficient of Variation, Calculate Pearson's Simple Linear Correlation Coefficient and Linear Regression Equation, Sample Spaces and Probability, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Counting Rules, Probability and Counting Rules, Probability Distributions and Mean-Variance-Standard Deviation, The Binomial Distribution, Finding Areas Under the Standard Normal Distribution Curve and Application, Testing Hypothesis.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Introduction to Statistics (STAT 100)
    * University Name : King Saud University




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Total Lessonses 44 Total Hours 16:32:49 Duration Of Course 17 weeks
Data Collection and Sampling Techniques
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
Graphical Representation
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
Stem and Leaves Diagrams
1 Lessons 0:18:21
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
Box plot
1 Lessons 0:04:54
Box Blot
0:04:54
Closed
Recorded Session
The Mean , Median , Mode and The Weighted Mean
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
Distribution Shapes
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Range , Variance and 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
Pearson and Superman Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
The Correlations
1 Lessons 0:08:27
The Correlations
0:08:27
Closed
Recorded Session
Calculate Pearson's Simple Linear Correlation Coefficient and Regression Equation
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Linear Regression and Correlations
2 Lessons 0:26:35
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
Counting Rule and Probability
3 Lessons 1:15:19
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Definition and Concept of Probability
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
Addition and Multiplication Rules
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
Sample Spaces and Probability
2 Lessons 0:45:19
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Probability
0:19:39
Closed
Recorded Session
The Multiplication Rules and 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
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Probability Distributions and Mean, Variance, Standard Deviation
3 Lessons 1:07:50
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
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
The Binomial Distribution
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
The Negative Binomial Distribution
1 Lessons 0:07:13
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
Finding Areas Under the Standard Normal Distribution Curve and Applications
3 Lessons 1:18:22
Z _Score
0:25:13
Closed
Recorded Session
The Normal Distribution Part 1
0:29:10
Closed
Recorded Session
The Normal Distribution Part 2
0:23:59
Closed
Recorded Session
Testing Hypothesis
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job