One sample Wilcoxon signed-rank test in R - calculation and interpretation скачать в хорошем качестве

One sample Wilcoxon signed-rank test in R - calculation and interpretation

The one sample Wilcoxon signed rank test is a non-parametric statistical method that is used in place of the one-sample t-test when the data is not normally distributed. This test is used to assess whether the median of the sample is different to a previously known standard value, such as a theoretical value or a population median. ➡️ Watch next:    • How to calculate the effect size for the o...   For example: =========== I have 51 observations and want to test the median age of the sample against a ficticious population median of 30. Formulated differently: is the median age in my sample significantly different from 30? Video contents: ============= I'll show how to conduct the one sample Wilcoxon signed-rank-test and interpret the results using R statistics. The wilcox.test() function in R is being used to reach that goal. To get an idea of my sample median, the median()-function is used to calculate that value. Calculating the required sample size: ============================== 🎥    • One sample Wilcoxon signed rank-test - cal...   ⏰ Timestamps: ============== 0:00 Introduction 0:12 Requirements 0:25 Example 0:35 Sample median 0:47 wilcox.test() for testing against population median 1:00 Two-sided and one-sided testing 1:22 Confidence intervals and exact p-value 1:42 Interpreting the results of the one sample wilcoxon-test 2:05 Conclusion and outlook If you have any questions or suggestions regarding One sample Wilcoxon signed-rank-test in R - calculation and interpretation, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc #useR #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H