I performed the following operations sequentially. Please look at the result when I use SUM. Sum values are incorrect. They should be 60/600/6000/60000.AVG returns correct values though.
What could be going wrong? Is it something I can fix?

sql>
sql>create table table1 (id int, value int);
operation successful (64.427ms)
sql>create table table2 (id int, value int);
operation successful (78.679ms)
sql>insert into table1 values(1, 10);
1 affected row (25.389ms)
sql>insert into table1 values(1, 20);
1 affected row (28.254ms)
sql>insert into table1 values(1, 30);
1 affected row (27.512ms)
sql>insert into table1 values(2, 300);
1 affected row (28.255ms)
sql>insert into table1 values(2, 200);
1 affected row (28.658ms)
sql>insert into table1 values(2, 100);
1 affected row (29.606ms)
sql>insert into table2 values(1, 1000);
1 affected row (25.144ms)
sql>insert into table2 values(1, 2000);
1 affected row (26.130ms)
sql>insert into table2 values(1, 3000);
1 affected row (27.490ms)
sql>insert into table2 values(2, 30000);
1 affected row (18.623ms)
sql>insert into table2 values(2, 20000);
1 affected row (40.441ms)
sql>insert into table2 values(2, 20000);
1 affected row (29.716ms)
sql>insert into table2 values(2, 10000);
1 affected row (25.907ms)
sql>select t1.id, sum(t1.value) as v1, sum(t2.value) as v2 from table1 t1, table2 t2 where t1.id=t2.id group by t1.id;
+------+------+--------+
| id   | v1   | v2     |
+======+======+========+
|    1 |  180 |  18000 |
|    2 | 2400 | 240000 |
+------+------+--------+
2 tuples (1.769ms)
sql>select t1.id, avg(t1.value) as v1, avg(t2.value) as v2 from table1 t1, table2 t2 where t1.id=t2.id group by t1.id;
+------+--------------------------+--------------------------+
| id   | v1                       | v2                       |
+======+==========================+==========================+
|    1 |                       20 |                     2000 |
|    2 |                      200 |                    20000 |
+------+--------------------------+--------------------------+
2 tuples (2.275ms)
sql>

Regards,
Tapomay.