diff --git a/distribution.py b/distribution.py
index e4ca4f9..614d9ec 100644
--- a/distribution.py
+++ b/distribution.py
@@ -259,33 +259,31 @@ def pd_from(x, l):
 def man():
 	"""
 	Prints the manual for the module.
+	Formatted this way to fit in memory on the calculator.
 	"""
-	print(
-		"""
-This module contains functions for computing the total probability of events.
-The functions are:
-bnd(x, n, p) - The binomial distribution
-bnd_mean(n, p) - The mean of the binomial distribution
-bnd_var(n, p) - The variance of the binomial distribution
-bnd_std(n, p) - The standard deviation of the binomial distribution
-bnd_upto(x, n, p) - The cumulative probability of getting upto x successes in n trials
-bnd_from(x, n, p) - The cumulative probability of getting from x successes in n trials
-gd(x, p, q) - The geometric distribution
-gd_mean(p) - The mean of the geometric distribution
-gd_var(p) - The variance of the geometric distribution
-gd_std(p) - The standard deviation of the geometric distribution
-gd_upto(x, p, q) - The cumulative probability of getting upto x trials until the first success
-gd_from(x, p, q) - The cumulative probability of getting from x trials until the first success
-hgd(x, N, n, k) - The hyper geometric distribution
-hgd_mean(N, n, k) - The mean of the hyper geometric distribution
-hgd_var(N, n, k) - The variance of the hyper geometric distribution
-hgd_std(N, n, k) - The standard deviation of the hyper geometric distribution
-hgd_upto(x, N, n, k) - The cumulative probability of getting upto x successes in n draws from a population of size N with k successes
-hgd_from(x, N, n, k) - The cumulative probability of getting from x successes in n draws from a population of size N with k successes
-pd(x, l) - The poisson distribution
-pd_mean(l) - The mean of the poisson distribution
-pd_var(l) - The variance of the poisson distribution
-pd_std(l) - The standard deviation of the poisson distribution
-pd_upto(x, l) - The cumulative probability of getting upto x occurrences
-pd_from(x, l) - The cumulative probability of getting from x occurrences
-""")
+	print("This module contains functions for computing the total probability of events.")
+	print("The functions are:")
+	print("bnd(x, n, p) - The binomial distribution")
+	print("bnd_mean(n, p) - The mean of the binomial distribution")
+	print("bnd_var(n, p) - The variance of the binomial distribution")
+	print("bnd_std(n, p) - The standard deviation of the binomial distribution")
+	print("bnd_upto(x, n, p) - The cumulative probability of getting upto x successes in n trials")
+	print("bnd_from(x, n, p) - The cumulative probability of getting from x successes in n trials")
+	print("gd(x, p, q) - The geometric distribution")
+	print("gd_mean(p) - The mean of the geometric distribution")
+	print("gd_var(p) - The variance of the geometric distribution")
+	print("gd_std(p) - The standard deviation of the geometric distribution")
+	print("gd_upto(x, p, q) - The cumulative probability of getting upto x trials until the first success")
+	print("gd_from(x, p, q) - The cumulative probability of getting from x trials until the first success")
+	print("hgd(x, N, n, k) - The hyper geometric distribution")
+	print("hgd_mean(N, n, k) - The mean of the hyper geometric distribution")
+	print("hgd_var(N, n, k) - The variance of the hyper geometric distribution")
+	print("hgd_std(N, n, k) - The standard deviation of the hyper geometric distribution")
+	print("hgd_upto(x, N, n, k) - The cumulative probability of getting upto x successes in n draws from a population of size N with k successes")
+	print("hgd_from(x, N, n, k) - The cumulative probability of getting from x successes in n draws from a population of size N with k successes")
+	print("pd(x, l) - The poisson distribution")
+	print("pd_mean(l) - The mean of the poisson distribution")
+	print("pd_var(l) - The variance of the poisson distribution")
+	print("pd_std(l) - The standard deviation of the poisson distribution")
+	print("pd_upto(x, l) - The cumulative probability of getting upto x occurrences")
+	print("pd_from(x, l) - The cumulative probability of getting from x occurrences")
diff --git a/law_total_probability.py b/law_total_probability.py
index 95fe120..0c351d6 100644
--- a/law_total_probability.py
+++ b/law_total_probability.py
@@ -37,11 +37,9 @@ def man():
 	"""
 	Prints the manual for the module.
 	"""
-	print("""
-This module contains functions for computing the total probability of events.
-The functions are:
-i(A, B) - The intersection of A and B
-u(A, B) - The union of A and B
-g(A, B) - The conditional probability of A given B
-n(A) - The negation of A
-""")
+	print("This module contains functions for computing the total probability of events.")
+	print("The functions are:")
+	print("i(A, B) - The intersection of A and B")
+	print("u(A, B) - The union of A and B")
+	print("g(A, B) - The conditional probability of A given B")
+	print("n(A) - The negation of A")