General Statistics (STAT 3101)

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

Total Lessonses 49 Total hours : 19:07:52 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 and Inferential Statistics, Variables and Types of Data, Data Collection and Sampling Techniques, Organizing Data Categorical Frequency Distributions Grouped Frequency Distributions, Histograms, Frequency Polygons, The Histogram, Relative Frequency Graphs, The Pie Graph, Stem and Leaf Plots, The Mean, The Median, The Mode, The Midrange, The Weighted Mean, Distribution Shapes, Range, Population Variance and Standard Deviation, Sample Variance and Standard Deviation, Variance and Standard Deviation for Grouped Data, Coefficient of Variation, Measures of Position Percentiles Quartiles and Deciles, Sample Spaces and Probability, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Counting Rules, Probability and Counting Rules, Probability Distributions, Mean, Variance, Standard Deviation, The Binomial Distribution, Finding Areas Under the Standard Normal Distribution Curve, Applications of the Normal Distribution, The Normal Approximation to the Binomial Distribution, Confidence Intervals for the Mean When s Is Known and Sample Size, Confidence Intervals for the Mean When s Is Unknown, Confidence Intervals and Sample Size for Proportions, Z Test for a Mean, Z Test for a Proportion.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : General Statistics (STAT 3101)
    * University Name : Islamic University of Madinah




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Total Lessonses 49 Total Hours 19:07:52 Duration Of Course 17 weeks
Statistical Data Classification
3 Lessons 0:59:05
Introduction to Statistics
0:20:08
Show
Recorded Session
Organization of Data Part 1
0:25:07
Show
Recorded Session
Organization of Data Part 2
0:13:50
Show
Recorded Session
Graphed Data and Frequency Distribution Tables
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
Mean, Median, Mode for Listed Data and Grouped Data
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
Range, Standard Mean , Standard Deviation and Variance
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
Definition of Probability
2 Lessons 0:45:19
Probability
0:19:39
Closed
Recorded Session
Diagram of The Sample Space
0:25:40
Closed
Recorded Session
Probability and Counting Rules
2 Lessons 0:18:50
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Counting Rule and Probability
1 Lessons 0:31:18
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Rules 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
Calculating Probability for Addition
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
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
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Conditional Probability and Bays Law
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
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
Probability Distributions
1 Lessons 0:22:12
Probability Distributions
0:22:12
Closed
Recorded Session
Continuous and Discrete Random Variables
3 Lessons 1:07:50
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continous Random Varible Distribution Part 1
0:31:00
Closed
Recorded Session
Continous Random Varible Distribution Part 2
0:16:40
Closed
Recorded Session
Binomial Distribution
2 Lessons 0:28:48
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
0:15:58
Closed
Recorded Session
The Negative Binomial Distribution
1 Lessons 0:07:13
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 and Area with Given Z – Value
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
Sampling Distribution of the Mean Central Limit Theorem
4 Lessons 1:27:50
Sampling Distribution
0:35:03
Closed
Recorded Session
Sampling Statistics as Estimation of Mean
0:18:00
Closed
Recorded Session
Central Limit Theorem Part 1
0:17:20
Closed
Recorded Session
Central Limit Theorem Part 2
0:17:27
Closed
Recorded Session
Hypothesis Tests for Difference Variance
1 Lessons 0:12:36
Hypothesis Tests for Difference Variance
0:12:36
Closed
Recorded Session
Introduction to Samples
1 Lessons 0:19:12
Introduction to Samples
0:19:12
Closed
Recorded Session
Two-Sample Proportional Inferences
1 Lessons 0:14:29
Two-Sample Proportional Inferences
0:14:29
Closed
Recorded Session
Estiomating of Two Means
1 Lessons 0:26:23
Estimation of Two Means
0:15:15
Closed
Recorded Session
Comparing Two Proportions
1 Lessons 0:17:40
Comparing Two Proportions
0:17:40
Closed
Recorded Session
Confidence Intervals
2 Lessons 0:27:33
Confidence Interval Estimation
0:18:22
Closed
Recorded Session
Confidence Interval on the Difference in Mean Variance Unknown
0:09:11
Closed
Recorded Session
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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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job