In [53]:

    

print("Hellow")


    

    




Hellow

In [54]:

    

print(1+1)


    

    




2

In [56]:

    

x = 'asdf' + 'wer'
print(x)


    

    




asdfwer

In [64]:

    

x = [3,4,'asdf']


    

In [68]:

    

print x[-1]


    

    




asdf

In [59]:

    

f = open('../data/gradtimes.txt','r')
print(f.readline())


    

    




NEURO	7.59

In [62]:

    

f = open('../data/gradtimes.txt','r')
numStudents = 0
for line in f:
    numStudents = numStudents + 1

print(numStudents)


    

    




525

In [87]:

    

f = open('/Users/justinjee/Desktop/neuro.txt','r')
allTimes = []

print(len(allTimes))

for line in f:
    (program, time) = line.split()
    allTimes.append(float(time))
    
print(len(allTimes))


    

    




0
84

In [97]:

    

a  ='5'
b = '8'
print(a+b)
print(int(a)+float(b))


    

    




58
13.0

In [88]:

    

print(sum(allTimes)/len(allTimes))


    

    




5.93273809524

In [89]:

    

f = open('/Users/justinjee/Desktop/nonneuro.txt','r')
allTimes = []
for line in f:
    (program, time) = line.split()
    allTimes.append(float(time))
    
print(sum(allTimes)/len(allTimes))


    

    




5.33195011338

In [118]:

    

import random
r = random.sample(allTimes,84)
print sum(r)/len(r)


    

    




5.23404761905

In [121]:

    

n = 0
for i in range(100000):
    r = random.sample(allTimes,84)
    if sum(r)/len(r)>=5.93:
        n+=1
        
print n/100000.0


    

    




0.00023

In [126]:

    

def mean(a):
    return sum(a)/len(a)

a = [1,2,3]
print mean(a)

def std(a):
    er = 0
    for i in a:
        er+= (mean(a)-i)**2
    return (float(er)/len(a))**0.5

print std(a)


    

    




2
0.816496580928

In [134]:

    

r = random.sample(allTimes,84)
print(mean(r))
print(std(r))


    

    




5.18821428571
1.77516542537

In [130]:

    

print(std(allTimes))


    

    




1.62119571987

In [140]:

    

means = []
for i in range(10):
    r = random.sample(allTimes,84)
    means.append(mean(r))

print std(allTimes)
print std(means) #standard error of the mean!


    

    




1.62119571987
0.151228617705

In [142]:

    

print std(allTimes)/(84)**0.5 #theoretical standard error of the mean


    

    




0.176886954825

In [ ]: