diff --git a/session-decarb/Readme.md b/session-decarb/Readme.md
index 3cf20e2..cc97437 100644
--- a/session-decarb/Readme.md
+++ b/session-decarb/Readme.md
@@ -8,3 +8,57 @@
 - Repeat the process at least 50 times
 
 ![Example of measurements.](measurements-example.jpg)
+
+# Tasks
+
+1. From microscope images get at least 50 measurements from each;
+2. Export the `csv` file for each collection of measurements
+3. Compute the basic descriptive statistics for each image:
+   - sample size
+   - mean
+   - median
+   - standard deviation
+   - minimum
+   - maximum
+   - range
+4. Compute the basic descriptive statistics for the complete dataset (200 measurements)
+5. Prepare the following graphs:
+   - One histogram for each image
+   - Compare all histograms
+   - One boxplot comparing the four zones (images)
+6. Extract the following information:
+   - central tendency,
+   - spread,
+   - possible outliers,
+   - difference among images (zones)
+7. State random variables
+   - Define a random variable for the legth property
+   - Define a discrete random variable, whose measurement is grater than a threshold (50um)
+   - Define an indicator random variable that states:
+     - $I_{ij} = 1$, if the measurement exceeds the threshold
+     - $I_{ij} = 0$, otherwise
+8. Compare images, based on your statistics and plots, answer the following:
+   - Which image has the largest mean?
+   - Which image has the greatest variability?
+   - Do all images appear similar?
+   - Does one image seem to come from a different population?
+9. Your `Readme.md` file must include:
+   - Introduction
+   - Random variables background
+   - Objective
+   - Description of the data
+   - Table of the descriptive statistics
+   - Required plots and its description
+   - Definition of random variables
+   - Comparison of images
+   - Conclusions
+   - Attach the 4 `csv` files
+10. Your report must answer the following
+    - What is the measured variable in your experiment?
+    - Why can this variable be modeled as a random variable?
+    - Which of your proposed variables are continuous?
+    - Which of your proposed variables are discrete?
+    - Which image has the highest mean value?
+    - Which image has the largest dispersion?
+    - What does your threshold analysis indicate?
+    - What can you conclude about the variability of the measurements.