Statistics and Probability (STAT 107)

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

Total Lessonses 41 Total hours : 17:25:60 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 :

    Introduction to Statistics, Organization of Data, Graphical Representation, Types of Survey Errors, Describe the Properties of Central Tendency, Construct and Interpret a Boxplot, Measures for a Population, Variation, and Shape in Numerical Data, Basic Probability, Addition and Multiplication Rules, Counting Rule and Probability, Probability and Counting Rules, Conditional Probability, Fundamental Theorem of Probability, The Properties of a Probability Distribution, Compute Probabilities from Binomial Distributions, Poisson Distributions, Hyper Geometric and Negative Binomial Distribution, Compute Probabilities from the Normal Distribution, Chebyshev’s Inequality, Introduction to Samples, Concept of The Sampling Distribution, Compute Probabilities Related to The Sample Mean and The Sample Proportion, The Central Limit Theorem.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics and Probability (STAT 107)
    * University Name : Taif University



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Total Lessonses 41 Total Hours 17:25:60 Duration Of Course 17 weeks
Introduction to Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Organization of Data
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
Types of Survey Errors
1 Lessons 0:31:17
Types of Survey Errors
0:31:17
Closed
Recorded Session
Describe the Properties of Central Tendency
3 Lessons 1:03:07
Measures of Central Tendency Part 1
0:23:29
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
Construct and Interpret a Boxplot
1 Lessons 0:04:54
Box Blot
0:04:54
Closed
Recorded Session
Measures for a Population, Variation, and Shape in Numerical Data
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
Basic Probability
4 Lessons 1:29:37
Probability
0:19:39
Closed
Recorded Session
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Definition and Concept of Probability Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probability Part 2
0:14:07
Closed
Recorded Session
Addition and Multiplication Rules
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
Counting Rule and Probability
1 Lessons 0:31:18
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
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
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
The Properties of a Probability Distribution
1 Lessons 0:22:12
Probability Distributions
0:22:12
Closed
Recorded Session
Compute Probabilities from Binomial Distributions
3 Lessons 0:36:01
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
The Negative Binomial Distribution
0:07:13
Closed
Recorded Session
Poisson Distributions
2 Lessons 0:39:07
Poison Distribution
0:14:14
Closed
Recorded Session
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Hyper Geometric and Negative Binomial Distribution
1 Lessons 0:18:26
Hyper Geometric and Negative Binomial Distribution
0:25:49
Closed
Recorded Session
Z _Score
1 Lessons 0:25:13
Z-Score
0:25:13
Closed
Recorded Session
The 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
Introduction to Samples
1 Lessons 0:19:12
Introduction to Samples
0:19:12
Closed
Recorded Session
Concept of The Sampling Distribution
2 Lessons 0:57:15
Sampling Distribution
0:35:03
Closed
Recorded Session
Probability Distributions
0:22:12
Closed
Recorded Session
Compute Probabilities Related to The Sample Mean and The Sample Proportion
2 Lessons 0:26:23
Estimation of Two Means
0:15:15
Closed
Recorded Session
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
The Central Limit Theorem
2 Lessons 0:34:47
Central Limit Theorem Part 1
0:17:20
Closed
Recorded Session
Central Limit Theorem Part 2
0:17:27
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job