To calculate the standard error, you need to divide the standard deviation by the square root of the sample size.

Standard Error = Standard Deviation / √(Sample Size)
Standard Error = 3.5 / √(5)
Standard Error = 3.5 / √5
Standard Error ≈ 3.5 / 2.24
Standard Error ≈ 1.56

Therefore, the standard error is approximately 1.56 when rounded to the nearest hundredth.

Remember that the standard error is a measure of the variability of a sample mean and represents how well the sample mean approximates the population mean.