Probability And Statistics @ 45 Days

Probability and Statistics(Probability) Bachelor of Engineering(BE) videos According to syllabus of Institute of Engineering(IoE), Tribhuvan University (TU)

Intermediate 5 (2 Reviews ) 323 Students enrolled
Last updated Wed, 16-Oct-2024 Nepali
What will I learn?
  • After the completion of this course students will get the complete knowledge of Probability and Statistics.

Curriculum for this course
183 Lessons 24h 51m
0. Marks Distribution
1 Lessons
  • 1. Course introduction and marks distribution.mp4 00:05:01
  • 1. Introduction to Statistics and it Importance in Engineering.mp4 00:08:04
  • 2. Describing Data with Graphs.mp4 00:07:36
  • 3. Describing Data with Numerical Measure.mp4 00:17:06
  • 4. Numerical 1 (Related to Mean).mp4 00:09:45
  • 5. Weighted arithmetic Mean, Combined Mean and Combined Standard Deviation.mp4 00:12:11
  • 6. Numerical 2 (mean and median).mp4 00:05:46
  • 7. Numerical 3 (Median with missing frequencies).mp4 00:06:01
  • 8. Numerical 4 (Combined Mean and sd).mp4 00:04:24
  • 9. Numerical 5 (Mean and S.D.).mp4 00:06:50
  • 10. Numerical 6 (Mode).mp4 00:07:18
  • 11. Numerical 7 (Variance).mp4 00:09:26
  • 12. Basic Probability.mp4 00:14:50
  • 13. Addition Law Multiplication Law, Conditional Probability.mp4 00:09:02
  • 14. Baye's Theorem.mp4 00:07:45
  • 15. Numerical 8 (Baye's Theorem).mp4 00:08:49
  • 16. Numerical 9(Baye's Theorem).mp4 00:08:37
  • 1. Random Variable and Discrete Probability Distribution.mp4 00:12:39
  • 2. Binomial Probability Distribution.mp4 00:07:53
  • 3. Numerical 1 (Binomial distribution).mp4 00:07:41
  • 4. Numerical 2 (Binomial distribution).mp4 00:07:24
  • 5. Numerical 3(Binomial Distribution).mp4 00:06:44
  • 6. Poisson's Probability Distribution.mp4 00:07:45
  • 7. Numerical 4(Poissons Distribution).mp4 00:06:10
  • 8. Numerical 5(Poissons Distribution).mp4 00:07:28
  • 9. Numerical 6(Poisson Distribution).mp4 00:08:22
  • 10. Hypergeometric Distribution.mp4 00:10:19
  • 11. Numerical 7(Hypergeometric Distribution).mp4 00:08:58
  • 12. Numerical 8(Hypergeometric Distribution).mp4 00:05:25
  • 13. Negative Binomial Distribution.mp4 00:09:42
  • 14. Numerical 9(Negative Binomial).mp4 00:05:18
  • 15. Numerical 10 (Negative Binomial).mp4 00:06:38
  • 16. Numerical 11(Negative Binomial).mp4 00:08:26
  • 1. Introducton (Continuous Random Variable, Probability Density Function, Cumulative Distribution Function).mp4 00:14:44
  • 2. Numerical 1.mp4 00:10:47
  • 3. Numerical 2.mp4 00:09:13
  • 4. Numerical 3.mp4 00:07:40
  • 5. Normal Distribution and Standard Normal Distribution.mp4 00:16:15
  • 6. Numerical 5(Normal Distribution).mp4 00:14:48
  • 7. Numerical 5(Normal Distribution).mp4 00:13:59
  • 8.Numerical 6 (Normal Distribution).mp4 00:07:20
  • 9. Gamma Distribution.mp4 00:05:26
  • 10. Numerical 7 (Gamma distribution).mp4 00:08:06
  • 11. Numerical 8(Gamma Distribution).mp4 00:06:55
  • 12. Numerical 9 (Gamma distribution).mp4 00:06:20
  • 13. Chi-Squared Distribution.mp4 00:03:11
  • 1. Introduction.mp4 00:06:53
  • 2. Sampling Distribution of Sample Mean.mp4 00:08:23
  • 3. Numerical 1 (Sampling distribution of sample mean).mp4 00:16:10
  • 4. Numerical 2 (Standard of sample mean).mp4 00:03:25
  • 5. Sampling distribution of sample proportion.mp4 00:08:11
  • 6. Numerical 3 (Sampling distribution of sample proportion).mp4 00:06:14
  • 7. Numerical 4 (Standard error of sample proportion).mp4 00:03:55
  • 8. Central Limit Theorem (CLT).mp4 00:04:44
  • 9. Numerical 5 (CLT).mp4 00:09:22
  • 10. Application of CLT.mp4 00:09:41
  • 11. Numerical 6 (Application of CLT).mp4 00:16:18
  • 12. Numerical 7 (Application of CLT).mp4 00:09:05
  • 13. Numerical 8 (Application of CLT).mp4 00:04:50
  • 14. Numerical 9 (Application of CLT).mp4 00:07:53
  • 0. Inference and interference in statistics.mp4 00:02:23
  • 1. Estimation.mp4 00:16:59
  • 2. Confidence interval for population mean.mp4 00:12:54
  • 3. Numerical 1.mp4 00:06:24
  • 4. Numerical 2.mp4 00:07:29
  • 5. Numerical 3.mp4 00:04:13
  • 6. Confidemce interval for small sample.mp4 00:05:40
  • 7. Numerical 4.mp4 00:05:58
  • 8. Numerical 5.mp4 00:07:29
  • 9. Test of Hypothesis.mp4 00:20:13
  • 10. Hypothesis Test Concerning One Mean.mp4 00:09:40
  • 11. Numerical 6 (Hypothesis test concerning one mean).mp4 00:09:58
  • 12. Numerical 7 (Hypothresis test concerning one mean ).mp4 00:10:10
  • 13. Hypothesis test concerning two means (large sample).mp4 00:10:37
  • 14. Hypothesis test concerning two mean (small sample).mp4 00:07:14
  • 16. One way ANOVA.mp4 00:14:46
  • 17. Numerical 8 (One way ANOVA).mp4 00:13:17
  • 19. Numerical (hypothesis test concerning two mean, large sample).mp4 00:11:00
  • 20. Numerical (Hypothesis test concerning two mean, small sample).mp4 00:10:11
  • 21. Paired t-test (redo).mp4 00:09:12
  • 22. Numerical 11 (Pired t-test).mp4 00:07:41
  • 1. Estimation of proportion.mp4 00:06:54
  • 2. Numerical 1(Confidence interval for one proportion).mp4 00:05:04
  • 3. Numerical 2 (Confidence interval for difference of two population proportions).mp4 00:11:12
  • 4. Hypothesis test concerning one proportion.mp4 00:10:33
  • 5. Numerical 3 (Hypothesis test concerning one proportion).mp4 00:08:27
  • 6. Numerical 4(Hypothesis test concerning two proportions).mp4 00:10:08
  • 7. Hypothesis test concerning two proportions.mp4 00:10:44
  • 8. Numerical (5) Hypothesis test concerining two proportions.mp4 00:07:07
  • 9. Chi-square test (introduction).mp4 00:06:17
  • 10. Chi-square test for goodness of fit.mp4 00:08:06
  • 11. Numerical 6 (Chi-square test for goodness of fit).mp4 00:13:16
  • 12. Numerical 7 (Chi-square test for goodness of fit).mp4 00:12:25
  • 13. Chi-square test for independence of attributes.mp4 00:06:52
  • 14. Numerical 8 (Chi-square test for independence of attributes).mp4 00:10:16
  • 1. Correlation.mp4 00:16:45
  • 2. Numerical 1(Simple correlation cofficient).mp4 00:07:31
  • 3. Numerical 2(Partial correlation cofficient).mp4 00:04:40
  • 4. Numerical 3.mp4 00:08:01
  • 5. Regression analysis.mp4 00:14:30
  • 6. Numerical (Simple regression analysis).mp4 00:11:01
  • 7. Numerical 7 (Multiple regression analysis).mp4 00:11:25
  • 8. Inference concerning least square method(redo).mp4 00:11:37
  • 9. Numerical 6.mp4 00:17:25
  • 1. Numerical 1.mp4 00:11:17
  • 2. Numerical 2.mp4 00:13:22
  • 3. Numerical 3.mp4 00:08:14
  • 4. Numerical 4.mp4 00:10:40
  • 2078 Bhadra (II,I)|1. Q. No. 1.mp4 00:09:10
  • 2078 Bhadra (II,I)|2. Q. No. 2.mp4 00:06:05
  • 2078 Bhadra (II,I)|3.Q. No. 3.mp4 00:02:43
  • 2078 Bhadra (II,I)|4. Q. No. 4.mp4 00:04:50
  • 2078 Bhadra (II,I)|5. Q. No. 5.mp4 00:08:09
  • 2078 Bhadra (II,I)|6. Q. No. 6.mp4 00:05:36
  • 2078 Bhadra (II,I)|7. Q. No. 6 (or part).mp4 00:05:42
  • 2078 Bhadra (II,I)|8. Q. No. 7.mp4 00:03:08
  • 2078 Bhadra (II,I)|9. Q. No. 8.mp4 00:05:24
  • 2078 Bhadra (II,I)|10. Q. No. 9.mp4 00:11:10
  • 2078 Bhadra (II,I)|11. Q. No. 10.mp4 00:03:11
  • 2078 Bhadra (II,I)|12. Q. No. 11.mp4 00:04:47
  • 2078 Bhadra (II,I)|13. Q. No. 12.mp4 00:12:32
  • 2078 Bhadra (II,I)|14. Q. No 13.mp4 00:08:44
  • 2078 Bhadra (II,I)|15. Q. No. 14.mp4 00:05:30
  • 2078 Bhadra(III,I)|1. Q. No. 1.mp4 00:07:00
  • 2078 Bhadra(III,I)|2. Q. No. 2.mp4 00:07:34
  • 2078 Bhadra(III,I)|3. Q. No. 3.mp4 00:03:58
  • 2078 Bhadra(III,I)|4. Q. No. 4.mp4 00:06:08
  • 2078 Bhadra(III,I)|5. Q. No. 5.mp4 00:04:24
  • 2078 Bhadra(III,I)|6. Q. No. 6.mp4 00:08:38
  • 2078 Bhadra(III,I)|7. Q. no. 7.mp4 00:01:45
  • 2078 Bhadra(III,I)|8. Q. No. 8.mp4 00:06:59
  • 2078 Bhadra(III,I)|9. Q. No. 9.mp4 00:11:33
  • 2078 Bhadra(III,I)|10. Q. No. 10.mp4 00:04:14
  • 2078 Bhadra(III,I)|11. Q. No. 11.mp4 00:10:42
  • 2078 Bhadra(III,I)|12. Q. No. 12.mp4 00:06:27
  • 2078 Bhadra(III,I)|13. Q. No. 13.mp4 00:06:30
  • 2078 Bhadra(III,I)|14. Q. No. 14.mp4 00:07:26
  • 2078 Bhadra(III,I)|15. Q. No. 15.mp4 00:09:10
  • 2078 Chaitra (II,II)|1. Q. No. 1.mp4 00:07:18
  • 2078 Chaitra (II,II)|2. Q. No. 2.mp4 00:04:06
  • 2078 Chaitra (II,II)|3. Q. No. 3.mp4 00:02:33
  • 2078 Chaitra (II,II)|4. Q. No. 4.mp4 00:03:27
  • 2078 Chaitra (II,II)|5. Q. No. 5.mp4 00:04:35
  • 2078 Chaitra (II,II)|6. Q. No. 6.mp4 00:05:59
  • 2078 Chaitra (II,II)|7. Q. No. 7.mp4 00:10:19
  • 2078 Chaitra (II,II)|8. Q. No. 8.mp4 00:06:30
  • 2078 Chaitra (II,II)|9. Q. No. 9.mp4 00:05:44
  • 2078 Chaitra (II,II)|10. Q. No. 10.mp4 00:06:34
  • 2078 Chaitra (II,II)|11. Q. No. 11.mp4 00:10:42
  • 2078 Chaitra (II,II)|12. Q. No. 12.mp4 00:04:44
  • 2078 Chaitra (II,II)|13. Q. No. 13.mp4 00:09:02
  • 2078 Chaitra (II,II)|14. Q. No. 14.mp4 00:02:03
  • 2078 Chaitra (II,II)|15. Q. No. 15.mp4 00:10:00
  • 2078 Poush (II,II)|1. Q. No.1.mp4 00:06:23
  • 2078 Poush (II,II)|2. Q. No. 2.mp4 00:06:21
  • 2078 Poush (II,II)|3. Q. No. 3.mp4 00:02:30
  • 2078 Poush (II,II)|4. Q. No. 4.mp4 00:04:43
  • 2078 Poush (II,II)|5. Q. No. 5.mp4 00:03:20
  • 2078 Poush (II,II)|6. Q. No. 6.mp4 00:06:34
  • 2078 Poush (II,II)|7. Q. No. 7.mp4 00:05:50
  • 2078 Poush (II,II)|8. Q. No. 8.mp4 00:06:01
  • 2078 Poush (II,II)|9. Q. No. 9.mp4 00:05:30
  • 2078 Poush (II,II)|10. Q. No. 10.mp4 00:04:06
  • 2078 Poush (II,II)|11. Q. No. 11.mp4 00:15:30
  • 2078 Poush (II,II)|12. Q. No. 12.mp4 00:04:32
  • 2078 Poush (II,II)|13. Q. No 13.mp4 00:12:43
  • 2078 Poush (II,II)|14. Q. No. 14.mp4 00:09:19
  • 2078 Poush (II,II)|15. Q. No. 15.mp4 00:10:48
  • 2079 Baishakh (III,I)|1. Q. No. 1.mp4 00:07:57
  • 2079 Baishakh (III,I)|2. Q. No. 2.mp4 00:05:04
  • 2079 Baishakh (III,I)|3. Q. No. 3.mp4 00:04:32
  • 2079 Baishakh (III,I)|4. Q. No. 4.mp4 00:06:31
  • 2079 Baishakh (III,I)|5. Q. No. 5.mp4 00:03:09
  • 2079 Baishakh (III,I)|6. Q. No. 6.mp4 00:05:56
  • 2079 Baishakh (III,I)|7. Q. No. 7.mp4 00:02:52
  • 2079 Baishakh (III,I)|8. Q. No. 8.mp4 00:05:46
  • 2079 Baishakh (III,I)|9. Q. No. 9.mp4 00:04:40
  • 2079 Baishakh (III,I)|10. Q. No,10.mp4 00:12:50
  • 2079 Baishakh (III,I)|11. Q. No. 11.mp4 00:07:46
  • 2079 Baishakh (III,I)|12. Q. No.12.mp4 00:07:09
  • 2079 Baishakh (III,I)|13. Q. No 13.mp4 00:10:02
  • 2079 Baishakh (III,I)|14. Q. No. 14.mp4 00:04:01
  • 2079 Baishakh (III,I)|15. Q. No. 15.mp4 00:13:41
Requirements
  • Students are required to have basic knowledge of Mathematics and Statistics.
Description

The videos herein are strictly based on syllabus of Institute of Engineering Tribhuvan University, Nepal promoting "e-Learning in Nepal" and are made with intention to provide guidance to the "Bachelor in Engineering(BE) appearing students", for securing good results. The course tries to cover all the lessons of Probability and Statistics, with the most frequently asked questions with solutions in final exam of BE. We strongly believe that, viewers will be benefited from these videos and the thirst of curiosity of viewers will be quenched! Feedbacks and suggestion to improve are always welcome and highly appreciated!

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