0.05
The greatest possible error for a measurement of 512 m typically depends on the precision of the measuring instrument used. If the instrument has a precision of ±1 m, then the greatest possible error would be ±1 m, resulting in a range of 511 m to 513 m. If a different precision level is provided, the greatest possible error would adjust accordingly.
Assuming the number is written to its greatest precision, it will be half of the place of the last digit. Since the 9 is in the tenths place, the greatest possible error is ±0.5*a tenth = ±0.05 metres.
0.05
The formula to calculate error in data can vary depending on the context, but a common one is the Absolute Error, which is calculated as the absolute difference between the measured value (M) and the true value (T): [ \text{Absolute Error} = |M - T| ] For relative error, you can use: [ \text{Relative Error} = \frac{|M - T|}{|T|} \times 100% ] This gives you a percentage that indicates how significant the error is in relation to the true value.
In dbms with m attributes 2^m-1 keys are possible. BY-ROHIT
The greatest possible error for a measurement of 512 m typically depends on the precision of the measuring instrument used. If the instrument has a precision of ±1 m, then the greatest possible error would be ±1 m, resulting in a range of 511 m to 513 m. If a different precision level is provided, the greatest possible error would adjust accordingly.
0.05 metres.
Assuming the number is written to its greatest precision, it will be half of the place of the last digit. Since the 9 is in the tenths place, the greatest possible error is ±0.5*a tenth = ±0.05 metres.
It is half the place value of the last digit that is given. In this case, it is + or -0.05m = + or - 5 cm.
0.05
4.25 m is the greatest
The formula to calculate error in data can vary depending on the context, but a common one is the Absolute Error, which is calculated as the absolute difference between the measured value (M) and the true value (T): [ \text{Absolute Error} = |M - T| ] For relative error, you can use: [ \text{Relative Error} = \frac{|M - T|}{|T|} \times 100% ] This gives you a percentage that indicates how significant the error is in relation to the true value.
It is not clear what do you mean by 'logical error', but perhaps an example will help: int main (void) { FILE *f= fopen ("foobar.txt", "r"); if (f) printf ("couldn't open foobar.txt for reading"); fclose (f); } corrected version: int main (void) { FILE *f= fopen ("foobar.txt", "r"); if (f==NULL) { printf ("couldn't open foobar.txt for reading"); return 0; } fclose (f); } Logical error can be generated by using the #error directive. This directive doesn't allows the program to run, in certain conditions. An error message has been generated by the compiler because of this preprocessor directive. e.g. #define M 10 #if M!=10 #error M must be 10 #endif in this case no error mesage will be generated because M is equal to 10 #define M 11 #if M!=10 #error M must be 10 #endif in this case, as M is not equal to 10 error message will be generated by the compiler and the message will be M must be 10.
The noun 'max' (lower case m) is an informal word for 'maximum', the greatest possible amount or degree. The noun 'Max' (upper case M) is the name of a person, a proper noun, often a shortened form of 'Maximilian'.
Mount Blanc, 4807 m
In dbms with m attributes 2^m-1 keys are possible. BY-ROHIT
12(m + 5)