Introduction to Statistics and Probability Theory (STAT 101)

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

Total Lessonses 43 Total hours : 15:51:62 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 :

    Population and Samples, Sampling Techniques, Graphical Representation, Frequency Distributions and Histograms and Bar Charts, Pie Charts, Stem and Leaf Diagrams, Scatter Plots and Correlation, Measure of Center, Measure of Variations, The Basics of Probability, Diagram of the Sample Space, Rules of Probability, Discrete Probability Distribution, Continuous Probability Distributions, The Binomial Probability Distribution, Other Discrete Probability Distributions, The Normal Probability Distributions, Sampling Distribution, Sampling Error, Sampling Distribution of The Mean, Sampling Distribution of The Proportion, Points and Confidence Interval Estimates for a Population Mean, Determining the Required Sample Size for Estimating a Population Mean.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Introduction to Statistics and Probability Theory (STAT 101)
    * University Name : Prince Sultan University



  • Suggested courses:

Completion Rate

0%

Student Assignments

0 Homeworks
Show

0 Quiz
Show

0 Exmas
Show

Total Lessonses 43 Total Hours 15:51:62 Duration Of Course 17 weeks
Introduction to Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
The Populations , Samples , and Sampling Techniques
2 Lessons 0:50:29
The Where ,Why,and How
0:31:17
Show
Recorded Session
Introduction to Samples
0:19:12
Show
Recorded Session
Frequency Distributions and Histograms
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
Bar Charts ,Pie Charts and Stem and Leaf Diagrams
2 Lessons 0:43:09
Organization of Data Part 1
0:25:07
Closed
Recorded Session
Organization of Data Part 2
0:13:50
Closed
Recorded Session
Scatter Diagrams And Correlation
4 Lessons 0:44:19
Box Blot
0:04:54
Closed
Recorded Session
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Pearson and Spearman Correlation
0:24:53
Closed
Recorded Session
Measures of Centr and Location
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 Variation
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
The Basics of Probability
1 Lessons 0:25:40
The Basics of Probability
0:25:40
Closed
Recorded Session
The Rules of Probability
10 Lessons 3:11:37
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
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
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
0:21:25
Closed
Recorded Session
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
Discreate Probability Distribution
1 Lessons 0:20:10
Discrete Probability Distributions
0:20:10
Closed
Recorded Session
The Binomial Probability Distribution
1 Lessons 0:15:38
The Binomial Probability Distribution
0:15:38
Closed
Recorded Session
Other Discrete Probability Distributions
3 Lessons 0:45:16
Bernoulli Trails
0:13:10
Closed
Recorded Session
Poison Probability Distribution
0:24:53
Closed
Recorded Session
Negative Binomial Distribution
0:07:13
Closed
Recorded Session
The Normal Probability Distributions
3 Lessons 1:18:22
Z _Score
0:25:13
Closed
Recorded Session
The Normal Distribution Part 1
0:29:10
Closed
Recorded Session
The Normal Distribution Part 2
0:23:59
Closed
Recorded Session
Sampling Error
2 Lessons 0:53:25
Sampling Distribution
0:35:03
Closed
Recorded Session
Confidence Interval Estimation
0:18:22
Closed
Recorded Session
Sampling Distribution of The Mean
1 Lessons 0:18:00
Sampling Statistics as Estimation of Mean
0:18:00
Closed
Recorded Session
Sampling Distribution of The Proportion
2 Lessons 0:28:48
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
Comparing Two Proportions
0:17:40
Closed
Recorded Session
Points and Confidence Interval Estimates for a Population Mean
1 Lessons 0:09:11
Points and Confidence Interval Estimates for a Population Mean
0:09:11
Closed
Recorded Session
Determining the Required Sample Size for Estimating a Population Mean
1 Lessons 0:15:15
Estimation of Two Means
0:15:15
Closed
Recorded Session
Estimating a Population Proportion
1 Lessons 0:14:29
Two-Sample Proportional Inferences
0:14:29
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