diff --git a/run.jl b/run.jl
index 508df9c..a885f86 100644
--- a/run.jl
+++ b/run.jl
@@ -1,4 +1,6 @@
 
 
-include("src/HW_int.jl")	# load our code
-HWintegration.runall()
\ No newline at end of file
+include("src/HWintegration.jl")	# load our code
+HWintegration.runall()
+
+plot(p...)
diff --git a/src/HWintegration.jl b/src/HWintegration.jl
index 68ef546..1ad6fb3 100644
--- a/src/HWintegration.jl
+++ b/src/HWintegration.jl
@@ -1,7 +1,7 @@
 
 module HWintegration
 
-	const A_SOL = -18  # enter your analytic solution. -18 is wrong.
+	const A_SOL = 4  # enter your analytic solution.
 
 	# imports
 	using FastGaussQuadrature
@@ -15,51 +15,84 @@ module HWintegration
 
 	# set random seed
 	srand(12345)
-
+	p=Any[]
 	# demand function
+    q(x)=2/(sqrt(x))
+	a=3/2
+	b=5/2
+	g(x)=a*q(a*x+b)
 
-	# gauss-legendre adjustment factors for map change
+    # Question 1
 
+	# gauss-legendre adjustment factors
+	a=3/2
+	b=5/2
 	# eqm condition for question 2
 
 	# makes a plot for questions 1
 	function plot_q1()
-
+		plot(q,0,4,xlim=(0,4), ylim=(0,4),label="Demand")
+		hline!([q(1)],label="p=1")
+		hline!([q(4)],label="p=2")
 	end
 
 
 	function question_1b(n)
-
+		println(sum(gausslegendre(n)[2][i]*g(gausslegendre(n)[1][i]) for i in 1:n )),
+	    push!(p,plot(g,-1,1,xlim=(-1,1), ylim=(0,4),title="GaussLegendre",legend=false))
+	    z=[]
+	    for i in 1:n
+	        push!(z,g(gausslegendre(n)[1][i]))
+	    end
+	    scatter!(gausslegendre(n)[1],z,legend=false)
 	end
 
 
 	function question_1c(n)
+		MonteCarlo=rand(Uniform(1,4),n)
+	    println(3*sum((1/n)*q(MonteCarlo[i]) for i in 1:n )),
+	    push!(p,plot(q,0,4,xlim=(0,4), ylim=(0,4),title="MonteCarlo",legend=false))
+	    z=[]
+	    for i in 1:n
+	        push!(z,q(MonteCarlo[i]))
+	    end
+	    scatter!(MonteCarlo,z,legend=false)
 
-		
 	end
 
 	function question_1d(n)
+        QMC=ScaledSobolSeq(1,[1.0],[4.0])
+        QuasiMonteCarlo=([next(QMC) for i in 1:n])
+        QMCX=[QuasiMonteCarlo[i][1] for i in 1:n]
+        println(3*sum((1/n)*q(QMCX[i]) for i in 1:n )),
+        push!(p,plot(q,0,4,xlim=(0,4), ylim=(0,4),title="QuasiMonteCarlo",legend=false))
+        z=[]
+        for i in 1:n
+            push!(z,q(QuasiMonteCarlo[i][1]))
+        end
+        scatter!(QMCX,z,legend=false)
 
-	
 
 	end
 
 	# question 2
 
 	function question_2a(n)
+        println("I could not answer this question")
 
-		
 
 	end
 
 	function question_2b(n)
+        println("I could not answer this question")
+
 
-		
 	end
 
 	function question_2bonus(n)
+        println("I could not answer this question")
+
 
-		
 
 
 	end
@@ -68,17 +101,18 @@ module HWintegration
 	function runall()
 		info("Running all of HWintegration")
 		info("question 1:")
-		plot_q1()
+		plot_q1
 		for n in (10,15,20)
 			info("============================")
 			info("now showing results for n=$n")
-			# info("question 1b:")
-			# question_1b(n)	# make sure your function prints some kind of result!
-			# info("question 1c:")
-			# question_1c(n)
-			# info("question 1d:")
-			# question_1d(n)
-			# println("")
+			info("question 1b:")
+			question_1b(n)	# make sure your function prints some kind of result!
+			info("question 1c:")
+			question_1c(n)
+			info("question 1d:")
+			question_1d(n)
+
+			println("")
 			info("question 2a:")
 			q2 = question_2a(n)
 			println(q2)
@@ -88,7 +122,9 @@ module HWintegration
 			info("bonus question: Quasi monte carlo:")
 			q2bo = question_2bonus(n)
 			println(q2bo)
+			info("Creating Plot")
 		end
+		plot(p...)
 	end
 	info("end of HWintegration")