Because a sample should be compared to a distribution of sample means from a population, we need to convert the statistics that pertain to individual households in the city into statistics that pertain to a distribution of sample means from that population (the city is the population). In order to compare the sample data you collected from your neighborhood to that distribution of sample means from the population, you need to calculate the standard deviation of the distribution of sample means from the population. The standard deviation of the distribution of sample means is also called the standard error (SE). Calculate the SE from the city population statistics provided in the research scenario. To remind you, the population statistics given above for the city were: mean () = 3.1, SD () = 1.6, along with the sample size N = 16. (Note: To calculate the SE, it might be the case that you will need all of these numbers, some of these numbers and not others, or maybe none of these numbers! If you truly know how to calculate the SE, you will know what you need to do.) Group of answer choices .11 .10 .40 .16