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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
5.0 (2 reviews)
250+ Students Enrolled Nepali Updated Oct 2024

What you'll learn

After the completion of this course students will get the complete knowledge of Probability and Statistics.
Course Curriculum 10 Sections • 183 Lectures
Free Preview Available: Watch "1. Course introduction and marks distribution.mp4" before enrolling.
1. Course introduction and marks distribution.mp4 Free Preview
00:05:01
1. Introduction to Statistics and it Importance in Engineering.mp4 Free Preview
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.

Course 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!

Instructor

M
Mero School Academic Team

Senior Academic Instructor • Mero School E-Learning