sampling.py

#Testing of Hypothesis by Urmil Shroff

try:
    import math
    from scipy import stats

except ImportError:
    print("\n***WARNING: THIS PROGRAM MAY NOT RUN CORRECTLY***\n\n1. Please make sure you have properly installed Python 3.6 from www.python.org\n2. After doing so, run 'python' in terminal\n3. Then type: 'pip install scipy'\n4. Now try again! If the problem still persists, close your computer and go back to sleep.")


def start():
    num=int(input("Enter number of Samples:\n"))

    if (num==1):
        n=float(input("Enter size of the Sample:\n"))

        if (n>=30):
            large_sample(1,n,0) #single large sample
        else:
            small_sample(1,n,0) #single small sample

    elif (num==2):
        n1=float(input("Enter size of the first Sample:\n"))
        n2=float(input("Enter size of the second Sample:\n"))

        if (n1>=30) and (n2>=30):
            large_sample(2,n1,n2) #double large sample
        else:
            small_sample(2,n1,n2) #double small sample

    else:
        print("Sorry, only one or two samples can be tested!")


def large_sample(num,n1,n2):
    if(num==1): #single large sample
        print("\nLarge Sample Test (one Sample)")
        n=n1
        x=float(input("Enter mean of the Sample:\n"))
        u=float(input("Enter mean of the Population:\n"))
        sd=float(input("Enter Standard Deviation:\n"))

        z_a=los_calc_z(int(input("Enter LOS:\n")),int(input("Is the hypothesis one tailed or two tailed?\n")))

        z=((x-u)/(sd/math.sqrt(n)))
        print("\nZ =",z,"\nZa =",z_a)

        if(z<0):
            z=-z

        if(z>z_a):
            print("\nNull hypothesis rejected, alternate hypothesis accepted!\n")
        elif(z<z_a):
            print("\nNull hypothesis accepted, alternate hypothesis rejected!\n")


    elif(num==2): #double large sample
        print("\nLarge Sample Test (two Samples)")

        yesno=input("Is Population SD the same for both populations? Y/N:\n")
        if(yesno=="y") or (yesno=="Y"):

            yesno=input("Is Population SD known? Y/N:\n")

            if(yesno=="y") or (yesno=="Y"): #case 2

                x1=float(input("Enter mean of the first Sample:\n"))
                x2=float(input("Enter mean of the second Sample:\n"))

                popsd=float(input("Enter common SD of the Populations:\n"))

                z=case_z2(n1,n2,x1,x2,popsd)

            else: #case 3

                x1=float(input("Enter mean of the first Sample:\n"))
                x2=float(input("Enter mean of the second Sample:\n"))

                s1=float(input("Enter SD of the first Sample/Population:\n"))
                s2=float(input("Enter SD of the second Sample/Population:\n"))

                z=case_z3(n1,n2,x1,x2,s1,s2)

        else: #case 1

            x1=float(input("Enter mean of the first Sample:\n"))
            x2=float(input("Enter mean of the second Sample:\n"))

            s1=float(input("Enter SD of the first Sample/Population:\n"))
            s2=float(input("Enter SD of the second Sample/Population:\n"))

            z=case_z1(n1,n2,x1,x2,s1,s2)


        z_a=los_calc_z(int(input("Enter LOS:\n")),int(input("Is the hypothesis one tailed or two tailed?\n")))

        if(z<0):
            z=-z

        print("\nZ =",z,"\nZa =",z_a)

        if(z>z_a):
            print("\nNull hypothesis rejected, alternate hypothesis accepted!\n")
        elif(z<z_a):
            print("\nNull hypothesis accepted, alternate hypothesis rejected!\n")

    else:
        print("Error, only 1 or 2 Samples can be predicted!")


def small_sample(num,n1,n2):
    if(num==1):
        print("\nSmall Sample Test (one Sample)")
        n=n1
        x=float(input("Enter mean of the Sample:\n"))
        u=float(input("Enter mean of the Population:\n"))
        sd=float(input("Enter Standard Deviation:\n"))

        t_a=los_calc_t(int(input("Enter LOS:\n")),n-1,num)
        t=((x-u)/(sd/math.sqrt(n-1)))

        if(t<0):
            t=-t

        print("\nT =",t,"\nTa =",t_a)

        if(t>t_a):
            print("\nNull hypothesis rejected, alternate hypothesis accepted!\n")
        elif(t<t_a):
            print("\nNull hypothesis accepted, alternate hypothesis rejected!\n")


    elif(num==2): # TODO: fix this
        print("\nSorry, small sample testing for two samples doesn't work yet! Submit a pull request if you can use SciPy to make it work.")

    else:
        print("Error, only 1 or 2 Samples can be predicted!")


def los_calc_z(los,tails): #LOS calculator for z-test (used for Large Samples)
    if(los==5):
        if(tails==2):
            return 1.96 #two-tailed @ 5% LOS
        else:
            return 1.65 #one-tailed @ 5% LOS

    elif(los==1):
        if(tails==2):
            return 2.58 #two-tailed @ 1% LOS
        else:
            return 2.33 #one-tailed @ 1% LOS


def los_calc_t(los,n,num): #LOS calculator for t-test (used for Small Samples)
    if(num==1):
        return stats.t.ppf((1-(los/100)),n)

    elif(num==2): #TODO: fix this
        print("WTF how did you call me?")
        #small double population formula: t(n1+n2-2,t_a)


def case_z1(n1,n2,x1,x2,s1,s2): #population sds not known, so we take s1, s2
    return ((x1-x2)/(math.sqrt(((s1**2)/n1)+((s2**2)/n2))))

def case_z2(n1,n2,x1,x2,popsd): #population sds are known and they are the same
    return ((x1-x2)/(popsd*(math.sqrt((1/n1)+(1/n2)))))

def case_z3(n1,n2,x1,x2,s1,s2): #population sds not known but they are said to be the same
    return ((x1-x2)/(math.sqrt(((s1**2)/n2)+((s2**2)/n1))))


print("\nTesting of Hypothesis by Urmil Shroff\n")
start()