Statistics (STAT 100)

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

Total Lessonses 38 Total hours : 15:24:12 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 :

    Organizing Data, Frequency Distributions Graphs, Mean-Mode-Median, Range-Variance-Stander Deviation, Experiment-Outcome and Sample Space, Compound Events-Dependent Events-Impossible Events-Independent Events-Sure Events, Union Events Intersection of Two Event Calculating Probability, Marginal Probability and Conditional Probability, The Addition Rule, Counting Rules, Factorials, Combinations, and Permutations, Discrete Random Variables and Their Probability Distribution, Continuous Random Variables and Their Probability Distribution, Examples of Probability Distribution of Discrete Random Variable, Mean and Standard Deviation of Random Variable, Standardizing a Normal Distribution, Pearson and Spearman Correlation, Simple Linear Regression, Linear Correlation Coefficient.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics (STAT 100)
    * University Name : Qassim University



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Student Assignments

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Total Lessonses 38 Total Hours 15:24:12 Duration Of Course 17 weeks
Organizing Data
3 Lessons 0:59:05
Introduction to statistics
0:20:08
Show
Recorded Session
Organizing Data Part 1
0:25:07
Show
Recorded Session
Organizing Data Part 2
0:13:50
Show
Recorded Session
Frequency Distributions 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
Measures of Central Tendency
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
Measures of Variability
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
Experiment, Outcome and Sample Space
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
Compound Events ، Dependent Events Impossible Events Independent Events Sure Events
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
Union Events Intersection of Two Event Calculating Probability
3 Lessons 0:57:06
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
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Counting Rules, Factorials, Combinations, and Permutations
2 Lessons 0:56:29
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Marginal Probability 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
Discrete Random Variables and Their Probability Distribution
1 Lessons 0:20:10
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continuous Random Variables and Their Probability Distribution
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
Examples of Probability Distribution of Discrete Random Variable
2 Lessons 0:35:22
Probability Distributions
0:22:12
Closed
Recorded Session
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
2 Lessons 22:51
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
Z _Score
1 Lessons 0:25:13
Z _Score
0:25:13
Closed
Recorded Session
Standardizing a Normal Distribution
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
Pearson and Superman Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Pearson and Spearman Correlation
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Simple Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Linear Correlation Coefficient
1 Lessons 0:17:58
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job