updating demo6 readme

Author: prabhatkc

src/demo6/README.md

@@ -1,15 +1,14 @@
 # Statistical analysis
 
-Statistical analysis includes two example scripts: 1) sample size determination via a power analysis and 2) statistical analysis for a pivotal study. Pre-installation of the iMRMC application is **NOT** recommended for the use of these scripts.
+Statistical analysis includes two example scripts: 1) sample size determination using a pilot data and 2) statistical analysis for a pivotal study. Pre-installation of the iMRMC application is **NOT** recommended for the use of these scripts.
 
-This demo also includes supporting material in `sample_size_determination/` and helper R functions in `iMRMC_2AFC/`.
+This demo also includes supporting material in `sample_size_4rm_pilot_study/` and helper R functions in `iMRMC_2AFC/`.
 
-# [*Sample size determination*](https://github.com/DIDSR/DLMO/tree/main/src/demo6/power_analysis)
+# [*Sample size determination*](http://github.com/DIDSR/DLMO/tree/main/src/demo6/sample_size_4rm_pilot_study)
 
-This script conducts a power analysis for sample size determination in our paper. To run the script, simply execute `power_analysis_BDG.R`. To use your own pilot data, please replace `pilot_data.csv` with your data following the same format, and update proportion correct by DLMO and its variance in the `power_analysis_BDG.R`.
+This script performs sample size determination for a split-plot design, as detailed in Section IV in the [supplementary material](https://arxiv.org/src/2602.22535v1/anc/DLMO_supp.pdf) of our [DLMO paper](https://arxiv.org/abs/2602.22535). To run the script, simply execute `sample_size_est_BDG.R`. To use your own pilot data, replace `pilot_data.csv` with your dataset following the same format, and update the DLMO proportion correct and its variance in `sample_size_est_BDG.R`.
 
 # [*Pivotal study*](https://github.com/DIDSR/DLMO/tree/main/src/demo6/pivotal_study)
 
-This script conducts a similarity test to investigate whether DLMO performs similarly to human readers within a pre-defined margin of 0.1 proportion correct. To run the script, simply execute `similarity_test.R`. To use it for your own project, please update the `DLMO reading results` section in `similarity_test.R`, and provide reading scores in the `reading_scores` folder following the same format.
+This script conducts a similarity test to assess whether our DLMO performs comparably to human readers within a predefined margin of 0.1 in proportion correct. To run the script, simply execute `similarity_test.R`. To use it for your own project, update the ‘DLMO reading results’ section in `similarity_test.R` and provide reading scores in the reading_scores folder following the same format.
 
-A detailed description of the statistical analysis can be found in `sample_size_determination/sizing_2AFC.pdf`, and in the [supplementary materials](https://arxiv.org/src/2602.22535v1/anc/DLMO_supp.pdf) Sec IV of our [paper](https://arxiv.org/abs/2602.22535).