diff --git a/Exercise8.R b/Exercise8.R
new file mode 100644
index 0000000..e9f5fdf
--- /dev/null
+++ b/Exercise8.R
@@ -0,0 +1,64 @@
+# Task 1
+
+# set the working directory and read the data
+setwd("/Users/johi/Desktop/Courses/Biocomputing/Biocomp_tutorial10")
+data <- read.table(file = "UWvMSU_1-22-13.txt", header = TRUE, sep = "\t", stringsAsFactors = FALSE)
+
+# initialize the score cumulative sum variable
+sum_UW = 0
+sum_MSU = 0
+
+# initialize the empty vectors for the score cumulative sums from each timepoint
+UW = 0
+MSU = 0
+
+# separate the UW and MSU data (for time purposes)
+UW_data = data[data$team == "UW", ]
+MSU_data = data[data$team == "MSU", ]
+
+# for loop with if-else statement to search through the whole data table
+# cumulative sum of the score for each team is calculated and assigned to a growing vector in each loop
+# a time vector for each team is created from the corresponding extracted team data time column where each time point corresponds to the cumulative sum of the score at this point
+for (i in 1:length(data$team)) {
+  if (data$team[i] == "UW") {
+    sum_UW = sum_UW + data$score[i]
+    UW = c(UW, sum_UW)
+    UW_time = c(0, UW_data$time)
+  }
+  else {
+    sum_MSU = sum_MSU + data$score[i]
+    MSU = c(MSU, sum_MSU)
+    MSU_time = c(0, MSU_data$time)
+  }
+}
+
+# plotting the corresponding graphs
+plot(MSU_time, MSU, type = "l", main = "UW vs. MSU basketball", xlab = "Time", ylab = "Score", col = "blue")
+lines(UW_time, UW, col = "red")
+legend("topleft", c("MSU", "UW"), fill = c("blue", "red"))
+
+# Task2
+# Guess my number
+
+# generating a random number
+rand = round(runif(1, 1, 100))
+
+# for loop to let the user make 10 guesses and give feedback every time using if-else statement
+for (i in 1:10) {
+  input = strtoi(readline(prompt = "Guess the number: "), base = 0L)
+  if (rand < input) {
+    print("Try lower.")
+  }
+  else if (rand > input) {
+    print("Try higher.")
+  }
+  else {
+    print("Well done!")
+    break
+  }
+}
+
+
+
+
+