Part I: Creating Sampling Distributions from a Population Launch the Sampling Distribution App, which has both data sets (Facebook Users and Geysers) which are needed for the activity. Use the easy to follow instructions provided at the start of the application to familiarize yourself with the interface. We will begin by working with the Facebook dataset. When you click on the Facebook dataset, the graph at the top right of the screen shows the population distribution of the number of Facebook friends each Facebook user has. If we repeatedly sampled from this dataset and graph a histogram of the sample means (i.e. generate a sampling distribution), what shape do you predict the sampling distribution would take? Question 2 options: it's impossible to tell - the general shape of the sampling distribution is depended on the random samples that are selected, so we will only know the shape once we graph it. the same as the population distribution (in this case, a strong right skew) bell shaped/ Normal curve a flat distribution (i.e. each sample mean will have the same probability of occurring)