Statistics (STAT 101)

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

Total Lessonses 29 Total hours : 10:42:50 Duration Of Course 17 weeks
  • About the Course :

    Course Description: This is an introductory course in statistics aimed at students from a wide range of disciplines. Topics covered include the representation and description of data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis testing with real-world applications. Students also have the opportunity to analyze data sets.




  • You Will Learn :

    Mean-Median- Mode, Range-Standard Mean- Variance- Standard Deviations, Graphical Displays of Data, Correlation and Linear Regression, Basic Probability Concepts, Binomial Distributions, Normal Probability Distributions, Random Variable, Confidence Intervals and Hypothesis Testing of Mean, Proportion for One or Two Populations, Anuva and Hypothesis Tests for Goodness of Fit.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics (STAT 101)
    * University Name : Saudi Electronic University




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Total Lessonses 29 Total Hours 10:42:50 Duration Of Course 17 weeks
Mean, Median, Mode
3 Lessons 1:03:07
Measures of Central Tendency Part 1
0:23:59
Show
Recorded Session
Measures of Central Tendency Part 2
0:25:57
Show
Recorded Session
Measures of Central Tendency Part 3
0:13:11
Show
Recorded Session
Range, Standard Mean, Variance, Standard 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
Graphical Displays of Data
2 Lessons 038:57
Organization of Data Part 1
0:25:07
Closed
Recorded Session
Organization of Data Part 2
0:13:50
Closed
Recorded Session
Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
1 Lessons 0:17:58
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
Correlation and Linear Regression
1 Lessons 0:24:53
poison probability distribution
0:24:53
Closed
Recorded Session
Basic Probability Concepts
1 Lessons 0:19:39
Probability
0:19:39
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
Conditional Probability and Independence Events
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
Binomial Distributions
2 Lessons 0:28:48
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
0:15:38
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
Random Variable ,Discrete Probabilitu Distributions
1 Lessons 0:20:10
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continous Random Varible 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
Confidence Intervals and Hypothesis Testing of Mean
2 Lessons 0:31:08
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
confidence interval Estimation
0:18:22
Closed
Recorded Session
Proportion for One or Two Populations
2 Lessons 0:28:07
Inference in Two Population
0:10:07
Closed
Recorded Session
Sampling Statistics as Estimation of Mean
0:18:00
Closed
Recorded Session
Anova and Hypothesis Tests for Goodness of Fit
1 Lessons 0:12:36
Hypothesis Tests for Difference Variance
0:12:36
Closed
Recorded Session
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Academic University Student


Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job