Write a function that will determine the size of the necessary sample for the study if the following parameters are known: - error (delta); - variance (sigsqr); - Confidence level (conf). Round up the answer to a whole number.

# function that determines the size of the necessary sample for the study
def sample_size(delta, sigsqr, conf):
  # confidence level
  alpha = 1 - conf
  # standard error
  stderr = math.sqrt(sigsqr)
  # margin of error
  moe = stderr * norm.ppf(1 - alpha / 2)
  # sample size
  n = (norm.ppf(1 - alpha / 2) * stderr / delta) ** 2
  # rounding up n
  n = math.ceil(n)
  return n

# calling function
sample_size(0.1, 1, 0.95)