| ★ |  Type I Error Explained: Understanding False Positives & Alpha in Statistics | | 69 | India | |
| 19 |  Welch's t-Test Explained: Comparing Means with Unequal Variances | | 1.0K | India | 85 |
| 8 |  P-value Hypothesis Testing | Statistics Ep. 19 | | 942 | Estados Unidos | 87 |
| 13 |  Bootstrap Methods Explained: Resampling for Inference | | 608 | India | 86 |
| 17 |  Two-Sample t-Test: Comparing Two Means Made Easy | | 559 | India | 86 |
| 12 |  Sign Test Statistics: Testing the Median (Step-by-Step Guide) | | 408 | India | 86 |
| 18 |  T-Test for Regression Slope Explained | Statistics 101 | | 393 | India | 85 |
| 15 |  F-Statistic Explained: Between vs Within Variation (ANOVA Concepts) | | 361 | India | 86 |
| 2 |  Significance Level Alpha (α) Explained: 0.05 vs 0.01 vs 0.10 | | 299 | India | 92 |
| 6 |  ANOVA Hypotheses Explained: H0 vs Ha and the Omnibus Test | | 256 | India | 88 |
| 5 |  Interpreting Hypothesis Testing | BioTech Whisperer @biotechwhisperer | 228 | Estados Unidos | 89 |
| 4 |  Understanding Power of Test (1 - β) in Statistics | Hypothesis Testing | | 203 | India | 89 |
| 3 |  Hypothesis Testing Explained: From Null Hypothesis to P-Values | Statistics for Beginners | | 186 | India | 91 |
| 20 |  Chi-Square Test of Independence: Categorical Variables Explained | | 167 | India | 85 |
| 16 |  Test for Proportion: Z-Score Formula Explained (One-Sample Z-Test) | | 113 | India | 86 |
| 10 |  Within-Group Variation Explained: Understanding Statistical Noise and Error | | 110 | India | 86 |
| 14 |  T-Distribution Explained: When Sigma Is Unknown (Statistics 101) | | 73 | India | 86 |
| 7 |  Types of Alternative Hypotheses: Two-Tailed vs Left-Tailed vs Right-Tailed | | 71 | India | 87 |
| 9 |  Paired t-Test Explained: Comparing Dependent Samples & Before-After Data | | 61 | India | 86 |
| 1 |  Type II Error Explained: False Negatives and Beta (Statistics) | | 49 | India | 92 |
| 11 |  Test Statistic Explained: Standardized Sample Statistic (Z-Score & T-Score) | | 33 | India | 86 |