diff --git a/frontend/streamlit_concept_1.py b/frontend/streamlit_concept_1.py
index db0ea81..535a642 100644
--- a/frontend/streamlit_concept_1.py
+++ b/frontend/streamlit_concept_1.py
@@ -11,23 +11,36 @@
 #################################################################
 
 POSITIVITY = 0.05
-SIMULATIONS = 1000
+SIMULATIONS = 250
+NUM_SAMPLES = 10000
 
-def simulate_population(pool_size,positivity,samples):
+def simulate_population(samples,positivity,sims):
     """
-        input n: pool size
+        input n: sample number
               p: positivity
-           sims: number of samples
+           sims: number of sims
         returns: population    """
-    population = np.random.binomial(pool_size, positivity, samples)
+    population = np.random.binomial(samples, positivity, sims)
     return population
 
+def check_positive(input_array):
+    if 1 in input_array:
+        return True
+    else:
+        return False
+
+def mean_confidence_interval(data, confidence=0.95):
+    a = 1.0 * np.array(data)
+    n = len(a)
+    m, se = np.mean(a), scipy.stats.sem(a)
+    h = se * scipy.stats.t.ppf((1 + confidence) / 2., n - 1)
+    return m, m - h, m + h
 
 #################################################################
 ###################         SCRIPT           ####################
 #################################################################
 
-x = simulate_population(pool_size = 5, positivity = POSITIVITY,samples = 1000)
-print(x)
-plt.hist(x)
-plt.show()
+# 1-. generate populations according with the positivity inputted
+x = simulate_population(samples = NUM_SAMPLES, positivity = POSITIVITY, sims = SIMULATIONS)
+
+# 2-. Randomly Distribute the number of positive