The source code to calculate the mean square error in matlab is this function: MSE = mean((desired - mean).^2). This indicates that you have the desired signal and the actual signal to work with.
The percentage error in the area of the square will be twice the percentage error in the length of the square. This is because the error in the length affects both the length and width of the square, resulting in a compounded effect on the area. Therefore, if there is a 1 percent error in the length, the percentage error in the area would be 2 percent.
Deductive reasoning, trial and error. The square root of 500 will be between 22 and 23, closer to 22. 22.3 squared is 497.29 22.36 squared is 499.97
I did it by trial and error. 7^2 is 49. 4 + 9 = 13
Use your calculator to calculate the square root of 81. Or use trial-and-error, to see which number, when multiplied by itself, gives you 81. (Hint: In this case, it is an integer.)
Just find a number which, when multipled by itself, gives you 36. By trial-and-error, you should find it quickly. Alternately, you can use a calculator and calculate the square root of 36.
sys = tf([n_1 ....],[d1, ...]); abs(1-dcgain(sys))
Solve this in two steps. First, based on the area, calculate the side of the length (square root of area, or by trial-and-error, find a side that, when squared, gives you 4). Then, calculate the perimeter as 4 times the length of the side.Solve this in two steps. First, based on the area, calculate the side of the length (square root of area, or by trial-and-error, find a side that, when squared, gives you 4). Then, calculate the perimeter as 4 times the length of the side.Solve this in two steps. First, based on the area, calculate the side of the length (square root of area, or by trial-and-error, find a side that, when squared, gives you 4). Then, calculate the perimeter as 4 times the length of the side.Solve this in two steps. First, based on the area, calculate the side of the length (square root of area, or by trial-and-error, find a side that, when squared, gives you 4). Then, calculate the perimeter as 4 times the length of the side.
To programmatically stop the execution of a MATLAB program, you can use the "return" statement or the "error" function to exit the program at a specific point. This will halt the execution and return control to the calling function.
A source of error is something that could have caused you to obtain an incorrect result.
The percentage error in the area of the square will be twice the percentage error in the length of the square. This is because the error in the length affects both the length and width of the square, resulting in a compounded effect on the area. Therefore, if there is a 1 percent error in the length, the percentage error in the area would be 2 percent.
To compute the standard error in refractive index from a graph, calculate the standard deviation of the data points and divide it by the square root of the sample size. This will give you the standard error in your refractive index measurement.
Deductive reasoning, trial and error. The square root of 500 will be between 22 and 23, closer to 22. 22.3 squared is 497.29 22.36 squared is 499.97
I did it by trial and error. 7^2 is 49. 4 + 9 = 13
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.
You need to calculate the square root of 950. As the square of 30 = 900, and the square of 33 = 1089 then you can begin to work on the problem by either trial and error, or with logarithms (or you could use a calculator).
Use your calculator to calculate the square root of 81. Or use trial-and-error, to see which number, when multiplied by itself, gives you 81. (Hint: In this case, it is an integer.)
Just find a number which, when multipled by itself, gives you 36. By trial-and-error, you should find it quickly. Alternately, you can use a calculator and calculate the square root of 36.