Introduction to statistics and probability (STAT 101)

Data collection, summarization, correlation, regression, probability, sampling, estimation, tests of significance.

Total Lessonses 41 Total hours : 16:25:12 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 :

    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, Introduction to Samples, Measures of Central Tendency, The Weighted Mean and Distribution Shapes, Measures of Centre and Locations, Range, Variance, and Standard Deviations, Coefficient of Variation, Pearson and Superman Regression, Linear Regression and Correlations, Diagram of the Sample Space, Counting Rules and Probability, Probability and Counting Rules, Definition and Concept of Probability, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Fundamental Theorem of Probability, Discrete Random Variable Function, Continuous Random Variable Function, Bernoulli Trails, Random Variable Functions Related to the Probability, Binomial Probability Distribution, Poison Distribution, Z _Score, 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 and probability (STAT 101)
    * University Name : Qassim University




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Total Lessonses 41 Total Hours 16:25:12 Duration Of Course 17 weeks
Data Collection and Sampling Techniques
4 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
Box Plot ,Stem and Leaf Plots
2 Lessons 0:23:15
Box Blot
0:04:54
Closed
Recorded Session
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
Introduction to Samples
1 Lessons 0:19:12
Introduction to Samples
0:19:12
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
The Weighted Mean and Distribution Shapes
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Measures of Centre and Locations
1 Lessons 0:46:54
Measures of Centre and Locations
0:46:54
Closed
Recorded Session
Range , Variance , and Standared Deviations
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
Linear Regression and Correlations
1 Lessons 0:17:58
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Diagram of The Sample Space
1 Lessons 0:25:40
Diagram of The Sample Space
0:25:40
Closed
Recorded Session
Counting Rules and Probability
1 Lessons 0:31:18
Counting Rule and Probability
0:31:18
Closed
Recorded Session
‏Permutation and Combination
1 Lessons 0:25:11
Permutation and Combinations
0:25:11
Closed
Recorded Session
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Definition and Concept of Probability
3 Lessons 0:44:18
Probability
0:19:39
Closed
Recorded Session
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
The Addition Rules for Probability
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
The Multiplication Rules and Conditional Probability
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
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Discrete Random Variable Function
1 Lessons 0:20:10
Discrete Probability Distributions
0:20:10
Closed
Recorded Session
Continuous Random Variable Function
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
Random Variable Functions Related to the Probability
1 Lessons 0:15:38
The Negative Binomial Distribution
0:07:13
Closed
Recorded Session
Binomial Probability Distribution
1 Lessons 0:22:51
Binomial Probability Distribution
0:15:38
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
Finding Areas Under the Standard Normal Distribution Curve and Application
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
Testing Hypothesis
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
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مجموعة المستقبل للتعليم

Academic University Student


Speciality : Mathematics

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Student ratings and comments

Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job