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دورة الإحصاء الاستدلالي بالعربي | Inferential Statistics in Arabic
Categorical Association and Independence

Categorical Association and Independence

دورة الإحصاء الاستدلالي بالعربي | Inferential Statistics in Arabic

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
46 درس
05:46 الاحصاء الاستدلالية كاملة في فيديو واحد || Inferential Statistics Basics
04:28 مقدمة للاحصاء الاستدلالية || The Inferential Statistics
07:47 Confidence Interval for mean with known population Standard Deviation
08:44 Confidence Interval for mean with unknown Standard Deviation
06:21 Confidence Interval for proportion
06:43 Confidence Levels
07:19 Choosing The Sample Size
05:34 مثال شامل على الـ Confidence Interval
07:04 ما معنى كلمة Hypotheses ؟
09:59 Significance Test about Population Proportion
05:45 Significance Test about Population Mean
08:55 Significance Test step-by-step plan
05:42 العلاقة بين Significance Test and Confidence Interval
05:18 مثال شامل على Significance Test
14:41 Type I and Type II Errors
12:12 Comparing Two Independent Proportions
10:50 Comparing Two Independent Means
10:14 Comparing Two Dependent Proportions
10:27 Comparing Two Dependent Means
08:16 Categorical Association and Independence
06:58 The Chi-Squared Test for Independence
09:16 Interpreting The Chi-Squared Test || Cramer's V
10:31 The Chi-Square Test for the goodness of fit
06:23 The Chi-Square Test - Side notes
08:48 Fisher's Exact Test
07:38 Simple Regression || The population Regression Model
07:58 Simple Regression || Predictive Power
11:13 Simple Regression || Pitfalls in Regression
07:57 Simple Regression || Testing The Model
11:05 Simple Regression || Checking Assumptions
09:03 Simple Regression || Confidence Interval and Prediction Interval for the predicted value
08:16 Simple Regression || Exponential Regression
12:23 Multiple Regression Model
08:47 Multiple Regression || R and R-Squared
08:11 Multiple Regression || Overall F-Test
15:32 Multiple Regression || Individual T tests
07:12 Multiple Regression || Checking Assumptions
10:38 Multiple Regression || Categorical Predictors
09:39 Multiple Regression || Categorical Response Variable || Logistic Regression
12:40 Multiple Regression || Interpreting Results
11:44 Analysis of Variance || One Way ANOVA
08:07 analysis of Variances || One Way ANOVA Assumptions and F Test
10:39 Analysis of Variances || One-Way ANOVA || Post - hoc T-tests
11:10 Analysis of Variance || Factorial ANOVA
11:10 Analysis of Variance || Factorial ANOVA || Assumptions and Tests
06:49 Analysis of Variance || One-Way ANOVA and Multiple Regression