الاحصاء والاحتمالات الهندسيه 2_الجزءالثاني ريض265_2
الجزء الثاني
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lecture 4 : Sampling distribution
- مقدمه مهمه 08:12
- 8-1: Random sampling 12:30
- 8-2 : Some important statistics 12:16
- Sampling Distribution of mean 36:23
- Exercise : 8-25 , 8-26 21:07
- Sampling Distribution of S2 38:17
- t_distributions 35:04
- T- distribution(example ( 8-8 , 8-9 , 8-10) 23:41
- T-distribution Examples (8-8 , 8-9 , 8-10)بطريقة الرسم 18:57
- F-distribution 29:50
- Exercises : 8-38 , 8-39 , 8-44 , 8-51 27:52
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مراجعة Lecture 4💥
- Z-distribution / x2 distribution 35:26
- T-distribution 32:50
- F-distribution 12:48
- اهم الاشياء النظري 14:07
- ملخص للقوانين وتجميعات 26:25
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Lecture 5: ( One and Two Sample Estimatation Problems
- point Estimation- unbiased estimator 37:11
- Variance of a point Estimator +ملخص للقوانين 16:04
- interval estimation 25:32
- confidence Intervals of mean ,(variance is KNOWN , n greater than and equal 30)(Example 9-2) 32:35
- Calculate the error , sample size (n)+ملخص للقوانين(Example 9-3) 17:30
- confidence Intervals of mean ,( variance is UNKNOWN , n less than 30)(Example 9-5) 21:17
- Confidence interval of mean , (variance unknown, n greater than and equal 30)(Example 9-6) 13:15
- ملخص للقوانين 02:39
- Confidence interval of two mean ملخص قوانين 06:41
- Confidence interval of two mean :population variances ( known)_ Example 9-10 22:05
- confidence interval between two mean: Variance unknown and equal: Example 9-11 22:22
- confidence interval between two mean: Variance unknown and Un equal: Example 9-12 17:21
- Paired observation : Example 9-13 20:30
- confidence Intervals of variance :(example 9-18 ) And ratio of two variance: (Example 9-19) 39:02
- ملخص جميع قوانين :confidence interval 13:16
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Exercise lecture 5
- 9-1 9-3 9-5 31:53
- Exercise : 9-8 , 9-12 , 9-14 22:01
- 9-35 9-37 9-40 9-41 9-45 47:04
- 9-71 9-72 9-77 24:17
- مراجعة lecture 5
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Lecture 6: One and two sample test of hypothesis
- null and alternative hypothesis / type one and two error 14:39
- Power , example 10-1 , 10-2 20:27
- P_value 15:41
- Hypothesis testing for mean and population variance KNOWN(Example 9-3 , 9-4) 34:42
- Hypothesis testing for mean and population variance UNKNOWN(Example 9-5) 20:48
- Hypothesis testing for different betweent two mean and population variance known or unknown but equal(Example 10-6) 25:09
- Hypothesis testing for different betweent two mean and population variance UNKNOWN and un equal //paired observation(case study 10-1) 18:59
- Hypothesis testing for single proportion// difference between two population proportion and variance( Example (10-9 , 10-10, 10-11 , 10-12)) 38:38
- ملخص للقوانين 12:45
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Exercise. Lecture 6
- 10-21. 10-31 25:35
- 10-36 , 10-44 27:58
- Exercise (10-67 , 10-69) 17:08
- 10-55 10-59 10-63 28:55
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مراجعة lecture 6
- الاسئله الموضوعيه 26:41
- خطوات حل المسائل 25:51
- مسائل مهمه 37:25
- مسألة فاينل 04:05
- final lec 5 , 6 (2023 14:29
- مسائل اختبارات 08:58
- lecture 7: Simple linear regression and correlation
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Exercise : Lecture 7
- Exercise : 2, 5 , 15 25:37
- Exercise : 43 , 53 13:47
- مراجعه :lecture 7
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مراجعات المنهج كامل
- ملخص القوانين-lecture 3 12:09
- مراجعه : part2-lecture 3 33:39
- مراجعه :part3-lecture 3 30:22
- مراجعه :part4-lecture 3 27:32
- Quiz1: 2023💥-lecture 3 30:25
- Uniform distribution-lecture (1 , 2) 14:25
- Normal Distribution: Part1-lecture(1, 2 ) 23:01
- Normal distribution :part 2-lecture (1 , 2) 35:58
- Normal approximation to binomial-lecture (1 , 2) 21:52
- Gamma/ exponential /chi square :distribution-lecture ( 1 , 2 ) 19:25
- ملخص للقوانين-lecture ( 1 , 2 ) 07:16
- Z-distribution / x2 distribution-lecture 4 35:26
- T-distribution-lecture 4 32:50
- F-distribution-lecture 4 12:48
- اهم الاشياء النظري-lecture 4 14:07
- ملخص للقوانين وتجميعات-lecture 4 26:25
- اهم الاثباتات للمنهج كامل
- اهم الاسئله الموضوعيه-lecture 5 17:36
- مراجعه: C l : one sample / population variance : Known or unknown ?-lecture 5 34:58
- C l of two mean-lecture 5 21:15
- C l of:: paired observation , variance (مهم جاء قبل بالفاينل) , ratio of two variances-lecture 5 10:33
- الاسئله الموضوعيه-lecture 6 26:41
- خطوات حل المسائل-lecture 6 25:51
- مسائل مهمه-lecture 6 37:25
- مسألة فاينل-lecture 6 12:27
- مسائل اختبارات-lecture 6 08:58
- موضوعي /ملخص القوانين / طريقة سؤال الاختبار-lecture 7 25:59
- Coefficient of determination-lecture7 04:23
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Midterm ( lecture 1 to lecture 4)(2023) , (2024)
- Question 1 (2023) 20:59
- Question 2(2023) 17:27
- Question 3 , 4(2023) 16:04
- Part1 (2024)
- Part2 (2024) 22:18
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EXCEL
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lecture 4 : Sampling distribution
- الجزء الثاني
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Eng: Sally. Faculty of Engineering. Al.kahra University. graduated at 2010 with Excellent grade. Master degree in MATH and Statistics. 10 years teaching Experience for the subjects of MATH and Statistics in Saudi Arabia. Online Education Experience with all Universities: Princess Noura university, AL-IMAM university and King Saud university
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