Statistics and Probability (MATH 339)

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

Total Lessonses 40 Total hours : 15:29:59 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, Organization and Presentation of Statistical Data, Graphical Representation, Measures of Central Tendency Mean, Median and Mode of The Simple Data and the Frequency Distribution, The Range and The Variance and the Standard Deviation, Coefficient of Variation of The Simple Data and The Frequency Distribution, Moments and Measure of Skewness and Kurtosis, Simple Linear Regression, Regression and Correlation Applications, Pearson Regression, Linear Regression and Correlations, Counting Techniques Permutation and Combinations, Counting Rule and Probability, Sample Space and Events, Addition Rule, Multiplication Rule, Definition of the Probability and Its Applications, Conditional Probability and Bayes Theorem, Fundamental Theorem of Probability, Discrete Random Variable Function, Continuous Random Variable Function, Random Variable Functions Related to the Probability, Binomial Probability Distribution, Poison Distribution, Z – Score, Normal Distribution, Chebyshev’s Inequality.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics and Probability (MATH 329)
    * University Name : King Khalid University




  • Suggested courses:

Completion Rate

0%

Student Assignments

0 Homeworks
Show

0 Quiz
Show

0 Exmas
Show

Total Lessonses 40 Total Hours 15:29:59 Duration Of Course 17 weeks
Definition and General View of Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Organization and Presentation of Statistical 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
Measures of Central Tendency Mean , Median and Mode of The Simple Data and the Frequency Distribution
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 and 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
Moments and Measure of Skewness and Kurtosis
1 Lessons 0:21:56
Skewness and Measures of Skewness
0:21:56
Closed
Recorded Session
Simple Linear Regression , Regression and Correlation Applications
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Pearson Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Linear Regression and Correlations
2 Lessons 0:26:35
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
0:17:584
Closed
Recorded Session
Counting Techniques Permutation and Combinations
1 Lessons 0:25:11
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
2 Lessons 0:50:08
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Sample Space and Events
1 Lessons 0:25:40
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Calculating Probability for Addition
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Multiplication Rule
2 Lessons 0:48:06
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 and Bayes Theorem
3 Lessons 1:17:30
Conditional Probability and Independence Events Part 1
0:23:49
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
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
Continuous Random Variable Distribution part 1
0:31:00
Closed
Recorded Session
Continuous Random Variables Distributions Part 2
0:16:40
Closed
Recorded Session
Random Variable Functions Related to the Probability
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
2 Lessons 0:22:51
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
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
Chebychaves Inequality
1 Lessons 0:04:03
Chebychaves Inequality
0:04:03
Closed
Recorded Session
★★★★★
5
★★★★☆
4
★★★☆☆
3
★★☆☆☆
2
★☆☆☆☆
1

0.0

★★★★★

Rates 0

Rates students about this course


مجموعة المستقبل للتعليم

Academic University Student


Speciality : Mathematics

3.5 / 2

  • 252 Courses 0 Rates 0 Students

About Teacher

...


Student ratings and comments

Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job