A public health researcher wishes to study the dietary behavior of residents in Durham County. The researcher randomly contacts 35 county residents and collects data on their daily sugar intake and obtained a sample average of 37.4 grams sugar per day and a sample standard deviation of 4.2 grams per day. The researcher would like to construct a 99% confidence interval for the mean daily sugar intake of residents in the county using the data. Which distribution should the researcher use when analyzing these data?

a. The researcher should use a normal distribution because the data come from a simple random sample and the sample is large.
b. The researcher should use a normal distribution because the true population average daily sugar intake is likely not near zero.
c. The researcher should use a normal distribution because they do not know the true standard deviation of daily sugar intake in Durham county.
d. The researcher should use a t-distribution because the sample size is too small to accurately calculate a 99% confidence interval using a normal distribution.
e. The researcher should use a t-distribution because they do not know the true standard deviation of daily sugar intake in Durham county.
f. The researcher cannot determine whether a t-distribution or a normal distribution would be more appropriate without looking at the shape of the population distribution.