Calculating relative errors
The size of the sample you take affects how accurately the point estimates reflect the corresponding population parameter. For example, when you calculate a sample mean, you want it to be close to the population mean. However, if your sample is too small, this might not be the case.
The most common metric for assessing accuracy is relative error. This is the absolute difference between the population parameter and the point estimate, all divided by the population parameter. It is sometimes expressed as a percentage.
attrition_pop and mean_attrition_pop are available; dplyr is loaded.
Deze oefening maakt deel uit van de cursus
Sampling in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Generate a simple random sample of 10 rows
attrition_srs10 <- ___
# Calculate the proportion of employee attrition in the sample
mean_attrition_srs10 <- ___
# Calculate the relative error percentage
rel_error_pct10 <- ___
# See the result
rel_error_pct10