Introduction to Statistics (STAT 101)

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

Total Lessonses 25 Total hours : 9:32:25 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 :

    What is Statistics, Organization of Data, Frequency Distributions and Graphic Presentation, Measures of Central Tendency, Range, Mean Deviation, Variance, and Standard Deviation, Skewed and Symmetric, Pearson and Superman Regression, Regression Equation and Pearson and Spearman, Linear Regression, Linear Regression and Correlations, The Correlations, Define Probability and Explain the Terms Experiment, Event, Outcome, Permutations, and Combinations, Conditional Probability and Joint Probability and Bayes Theorem, Probability and Counting Rules, Define the Terms Probability Distribution and Random Variable, Compute Probabilities Using the Binomial Probability Distribution, Using the Hypergeometric Probability Distribution, Z _Score, The Normal Distribution, Index Numbers.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Introduction to Statistics (STAT 101)
    * University Name : Taibah University



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Total Lessonses 25 Total Hours 9:32:25 Duration Of Course 17 weeks
Statistics Population, Sample, Parameter, Statistic, and Variable. Data Types, Source of Data
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
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
Measures of Dispersion
3 Lessons 0:54:09
Measures of Variability Part 1
0:26:50
Closed
Recorded Session
Measures of Variability Part 2
0:23:16
Closed
Recorded Session
Coefficient of Variations
0:04:03
Closed
Recorded Session
Evaluate Skewness, Kurtosis
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Linear Correlation
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Simple Linear Regression
1 Lessons 0:08:37
Linear Regression
0:17:58
Closed
Recorded Session
Probability Definition
3 Lessons 1:03:57
Probability
0:19:39
Closed
Recorded Session
Definition and Concept of Probability Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probabbility Part 2
0:14:07
Closed
Recorded Session
Random Experiment
1 Lessons 0:25:40
Diagram of The Sample Space
0:25:40
Closed
Recorded Session
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Probability 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
Rules of Addition
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Conditional Probability and Independence Bayes' Theorem and its Applications
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 3
0:20:45
Closed
Recorded Session
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مجموعة المستقبل للتعليم

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Speciality : Mathematics

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Student ratings and comments

Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job