10431  Normal Distribution
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10431  Normal Distribution
What is the "percentage of population T falling in Q(z) area" in the output? I don't understand what it means.

 Guru
 Posts: 724
 Joined: Wed Dec 19, 2001 2:00 am
 Location: Germany
10431 any data?
can anyone provide some test data of 10431 (Normal Distribution)?
thanks.
my code goes here.
[pascal]
const
p = 0.2316419;
b1 = 0.319381530;
b2 = 0.356563782;
b3 = 1.781477937;
b4 = 1.821255978;
b5 = 1.330274429;
var
i, n : longint;
x : integer;
s : double;
sum : double;
sigma, z, miu : double;
caseno : integer;
t, c, r, qz : double;
nq : integer;
begin
caseno := 0;
while not eof do
begin
readln(n);
if n = 0 then break;
inc(caseno);
sum := 0; sigma := 0;
for i := 1 to n do
begin
read(s);
sum := sum + s;
sigma := sigma + s * s;
end;
sum := sum / n;
sigma := sigma  n * sqr(sum);
if n > 1 then
begin
sigma := sigma / (n1);
sigma := sqrt(sigma);
end
else sigma := 0;
writeln('Data Set #', caseno);
writeln('Mean = ', sum : 0 : 4);
writeln('Standard Deviation = ', sigma : 0 : 4);
readln(nq);
while nq > 0 do
begin
read(z);
z := (z  sum) / sigma;
t := 1 / (1 + p * abs(z));
c := 1 / sqrt(2 * pi) * exp(z*z/2);
r := 0;
z := t; r := r + b1 * z;
z := z * t; r := r + b2 * z;
z := z * t; r := r + b3 * z;
z := z * t; r := r + b4 * z;
z := z * t; r := r + b5 * z;
qz := c * r;
writeln('P(z) = ', 1qz : 0 : 4, ', Q(z) = ', qz : 0 : 4,', T = ', n * qz : 0 : 4);
dec(nq);
end;
writeln;
end;
end.
[/pascal]
thanks.
my code goes here.
[pascal]
const
p = 0.2316419;
b1 = 0.319381530;
b2 = 0.356563782;
b3 = 1.781477937;
b4 = 1.821255978;
b5 = 1.330274429;
var
i, n : longint;
x : integer;
s : double;
sum : double;
sigma, z, miu : double;
caseno : integer;
t, c, r, qz : double;
nq : integer;
begin
caseno := 0;
while not eof do
begin
readln(n);
if n = 0 then break;
inc(caseno);
sum := 0; sigma := 0;
for i := 1 to n do
begin
read(s);
sum := sum + s;
sigma := sigma + s * s;
end;
sum := sum / n;
sigma := sigma  n * sqr(sum);
if n > 1 then
begin
sigma := sigma / (n1);
sigma := sqrt(sigma);
end
else sigma := 0;
writeln('Data Set #', caseno);
writeln('Mean = ', sum : 0 : 4);
writeln('Standard Deviation = ', sigma : 0 : 4);
readln(nq);
while nq > 0 do
begin
read(z);
z := (z  sum) / sigma;
t := 1 / (1 + p * abs(z));
c := 1 / sqrt(2 * pi) * exp(z*z/2);
r := 0;
z := t; r := r + b1 * z;
z := z * t; r := r + b2 * z;
z := z * t; r := r + b3 * z;
z := z * t; r := r + b4 * z;
z := z * t; r := r + b5 * z;
qz := c * r;
writeln('P(z) = ', 1qz : 0 : 4, ', Q(z) = ', qz : 0 : 4,', T = ', n * qz : 0 : 4);
dec(nq);
end;
writeln;
end;
end.
[/pascal]

 Experienced poster
 Posts: 192
 Joined: Sat Nov 30, 2002 5:14 am
 Pier
 New poster
 Posts: 38
 Joined: Thu Mar 27, 2003 9:12 pm
 Location: Aguascalientes, Mexico
 Contact:
Help!
Can anyone help me with this problem?
Here's my code:
[pascal]
Const
p = 0.2316419; b1= 0.319381530; b2=0.356563782;
b3= 1.781477937; b4=1.821255978; b5= 1.330274429;
Var
c,i,n,qi: integer;
f,m,qr,s,t,z: real;
Begin
c:= 1;
While (not eof(input)) do
begin
if c<>1 then writeln(output);
readln(input,n);
m:= 0; s:= 0;
for i:= 1 to n do
begin
read(input,t);
m:= m+t;
s:= s+ sqr(t);
end;
readln(input);
s:= sqrt((n*s sqr(m))/(n*(n1)));
m:= m/n;
writeln(output,'Data Set #',c);
writeln(output,'Mean = ',m:0:4);
writeln(output,'Standard Deviation = ',s:0:4);
readln(input,qi);
for i:= 1 to qi do
begin
read(input,z);
z:= (zm)/s;
t:= 1/(1+p*abs(z));
f:= (1/sqrt(2*pi))*exp(z*z/2);
qr:= f*t*(b1 +t*(b2 +t*(b3 +t*(b4 +t*b5))));
writeln(output,'P(z) = ',(1qr):0:4,', Q(z) = ',qr:0:4,', T = ',n*qr:0:4);
end;
readln(input);
Inc(c);
end;
End.
[/pascal]
I changed the last writeln for writeln('Testing!'); and I got WA on the same time, which means I'm failing even with the first test!
Any help aprecciated!
PS: I have also tried changing real for extended and integer for longint, but that didn't helped.
Here's my code:
[pascal]
Const
p = 0.2316419; b1= 0.319381530; b2=0.356563782;
b3= 1.781477937; b4=1.821255978; b5= 1.330274429;
Var
c,i,n,qi: integer;
f,m,qr,s,t,z: real;
Begin
c:= 1;
While (not eof(input)) do
begin
if c<>1 then writeln(output);
readln(input,n);
m:= 0; s:= 0;
for i:= 1 to n do
begin
read(input,t);
m:= m+t;
s:= s+ sqr(t);
end;
readln(input);
s:= sqrt((n*s sqr(m))/(n*(n1)));
m:= m/n;
writeln(output,'Data Set #',c);
writeln(output,'Mean = ',m:0:4);
writeln(output,'Standard Deviation = ',s:0:4);
readln(input,qi);
for i:= 1 to qi do
begin
read(input,z);
z:= (zm)/s;
t:= 1/(1+p*abs(z));
f:= (1/sqrt(2*pi))*exp(z*z/2);
qr:= f*t*(b1 +t*(b2 +t*(b3 +t*(b4 +t*b5))));
writeln(output,'P(z) = ',(1qr):0:4,', Q(z) = ',qr:0:4,', T = ',n*qr:0:4);
end;
readln(input);
Inc(c);
end;
End.
[/pascal]
I changed the last writeln for writeln('Testing!'); and I got WA on the same time, which means I'm failing even with the first test!
Any help aprecciated!
PS: I have also tried changing real for extended and integer for longint, but that didn't helped.
There are 10 kind of people on this world: those who understand binary and those who don't!
Re: Help!
Try to This inputPier wrote:Can anyone help me with this problem?
Any help aprecciated!
PS: I have also tried changing real for extended and integer for longint, but that didn't helped.
1
10
2
10 20
I don't know if this is useful

 Experienced poster
 Posts: 192
 Joined: Sat Nov 30, 2002 5:14 am
 little joey
 Guru
 Posts: 1080
 Joined: Thu Dec 19, 2002 7:37 pm
Try:
You can find the correct answers if you imagine how the distribution curve looks in these cases.
There is no data like the second case in the judges input (my first program didn't handle it, but got AC), although I think there should be.
There is an error in the problem description:
Code: Select all
1
10
3
5 10 15
5
10 10 10 10 10
3
5 10 15
There is no data like the second case in the judges input (my first program didn't handle it, but got AC), although I think there should be.
There is an error in the problem description:
It should be the 'number' (n*Q(z)) and not the 'percentage' (100*Q(z)).and then percentage of population `T' falling in Q(z) area
 Pier
 New poster
 Posts: 38
 Joined: Thu Mar 27, 2003 9:12 pm
 Location: Aguascalientes, Mexico
 Contact:
Here are my answers for those inputs. Are these correct?
Data Set #1
Mean = 10.0000
Standard Deviation = 0.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
P(z) = 0.0000, Q(z) = 1.0000, T = 1.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
Data Set #2
Mean = 10.0000
Standard Deviation = 0.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
P(z) = 0.0000, Q(z) = 1.0000, T = 5.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
Data Set #1
Mean = 10.0000
Standard Deviation = 0.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
P(z) = 0.0000, Q(z) = 1.0000, T = 1.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
Data Set #2
Mean = 10.0000
Standard Deviation = 0.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
P(z) = 0.0000, Q(z) = 1.0000, T = 5.0000
P(z) = 1.0000, Q(z) = 0.0000, T = 0.0000
There are 10 kind of people on this world: those who understand binary and those who don't!
 little joey
 Guru
 Posts: 1080
 Joined: Thu Dec 19, 2002 7:37 pm
No, they're not. Q(z) is the area under the normal curve left of point z (figure 2 in the problem description is wrong), so for any z1>z2 it holds that Q(z1)>=Q(z2) (and P(z1)<=P(z2)).
In the two cases I gave, the normal curve is a spike located at z=10, so Q(z) should be 1 for z>=10 and 0 for z<10 (the step function).
In the two cases I gave, the normal curve is a spike located at z=10, so Q(z) should be 1 for z>=10 and 0 for z<10 (the step function).
Hi Pier,
Your program is fine, it's just that you lose precision when you compute the deviation. Your formula is:
This can be made simpler:
My formula was also not in the simplest form and I was constantly getting WA. But when I changed it like above, I got ACC.
Your program is fine, it's just that you lose precision when you compute the deviation. Your formula is:
Code: Select all
s:= sqrt((n*s sqr(m))/(n*(n1)));
Code: Select all
s:= sqrt((s m*m/n)/(n1));