![](https://rs.olm.vn/images/avt/0.png?1311)
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![](https://rs.olm.vn/images/avt/0.png?1311)
![](https://rs.olm.vn/images/avt/0.png?1311)
Bài 1
Var s,i:integer;
tb:real;
Begin
Write('Nhap n = ');readln(n);
i:=1;
s:=0;
While i<=n do
Begin
s:=s+i;
i:=i+1;
End;
tb:=s/n;
Writeln('Tong la ',s);
Write('Trung binh la ',tb:10:2);
Readln;
End.
Bài 2
Var i,n,souoc:integer;
Begin
Write('Nhap n = ');readln(n);
i:=1;
While i <= n do
Begin
i:=i + 1;
If n mod i = 0 then souoc:=souoc + 1;
End;
If souoc = 1 then write(n,' la so nguyen to')
Else write(n,' khong la so nguyen to');
Readln;
End.
![](https://rs.olm.vn/images/avt/0.png?1311)
Program hotrotinhoc;
var s: string;
t,c,i: byte;
begin
write('Nhap s:'); readln(s);
t:=0;
for i:=1 to length(s) do
if s[i] in ['1'..'9'] then
begin
val(s[i],c);
t:=t+c;
end;
write(t);
readln
end.
Thu gọn
![](https://rs.olm.vn/images/avt/0.png?1311)
uses crt;
var i,j,kt:integer;
begin
clrscr;
for i:=100 to 1 do write(i:4);
writeln;
for i:=2 to 100 do
begin
kt:=0;
for j:=2 to trunc(sqrt(i)) do
if i mod j=0 then kt:=1;
if kt=0 then write(i:4);
end;
readln;
end.
![](https://rs.olm.vn/images/avt/0.png?1311)
uses crt;
var i,n,kt:integer;
begin
clrscr;
readln(n);
kt:=0;
for i=2 to trunc(sqrt(n)) do
if n mod i=0 then kt:=1;
if (kt=0) and (n>1) then write('phai')
else write('Khong phai');
readln;
end.
Var i,n,souoc:integer;
Begin
While n <= 1 do
Begin
Write('Nhap n = ');readln(n);
End;
For i:=1 to n do
If n mod i = 0 then souoc:=souoc+1;
If souoc = 2 then write(n,' la so nguyen to')
Else write(n,' khong la so nguyen to');
Readln;
End.
![](https://rs.olm.vn/images/avt/0.png?1311)
uses crt;
var n,i,kt,j:integer;
begin
clrscr;
readln(n);
i:=1;
while (i<n) do
begin
i:=i+1;
kt:=0;
for j:=2 to i-1 do
if i mod j=0 then kt:=1;
if kt=0 then write(i:4);
end;
readln;
end.
![](https://rs.olm.vn/images/avt/0.png?1311)
uses crt;
var a:array[1..100]of integer;
i,n,t,kt,j:integer;
begin
clrscr;
write('Nhap n='); readln(n);
for i:=1 to n do
begin
write('A[',i,']='); readln(a[i]);
end;
writeln('Cac so vua nhap la: ');
for i:=1 to n do
write(a[i]:4);
writeln;
t:=0;
for i:=1 to n do
t:=t+a[i];
writeln('Tong cua day so la: ',t);
kt:=0;
for j:=2 to trunc(sqrt(t)) do
if t mod j=0 then
begin
kt:=1;
break;
end;
if kt=0 then writeln(t,' la so nguyen to')
else writeln(t,' khong la so nguyen to');
readln;
end.
Cậu ơi sai khúc write('A[',i,']='); readln(a[i]); rồi nó cứ bị sao sao á
![](https://rs.olm.vn/images/avt/0.png?1311)
uses crt;
var a:array[1..100]of integer;
i,n,t,kt:integer;
begin
clrscr;
write('Nhap n='); readln(n);
for i:=1 to n do
begin
write('A[',i,']='); readln(a[i]);
end;
writeln('Cac so ban vua nhap la: ');
for i:=1 to n do
write(a[i]:4);
writeln;
t:=0;
for i:=1 to n do
t:=t+a[i];
writeln('Tong cac so vua nhap la: ',t);
if t>=2 then
begin
kt:=0;
for i:=2 to trunc(sqrt(t)) do
if t mod i=0 then
begin
kt:=1;
break;
end;
if kt=0 then writeln(t,' la so nguyen to')
else writeln(t,' khong la so nguyen to');
end
else writeln(t,' khong la so nguyen to');
readln;
end.
![](https://rs.olm.vn/images/avt/0.png?1311)
Câu 2:
uses crt;
var x,y:int64;
begin
clrscr;
readln(x,y);
writeln(x+y);
readln;
end.
in ra tất cả các số nt họ hàng hay chỉ 2 số liền kề nhau??
ngồi vắt óc mãi mới ra![](data:image/png;base64,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)