Reection: Bootstrapping Using StatKey Work this together, but with each person having an open copy of this document and StatKey. You should share your screens back and forth. Every term, some of the authors of our book give students a survey on the rst day of class. One of the questions that they ask them is to estimate how many hours of TV they watch per week. The column below gives the answers from a sample. Copy the data onto your computer's clipboard. (Rightclick over them to select. then CTRLC} (CommandC in Apple.) [It goes down a bunch of pages.) 6165815215312522010358264822010255 14202010311402026153217731263208012 82054432452386455582104520142 87 11103731033521561332514510432 33 5431010?10 52545102101520211010 10 15103101010 41465214536105102510 compo 4 5 2 4 3 3 4 3 5 2 3 Descriptive Statistics 1. Determine a reasonable population from which you could say this sample is drawn. [3 Pts} 2. In StatKey. under Descriptive Statistics [One Quantitative Variable, select Edit Data and paste the contents of your clipboard. Since there are no identifying data, ole-select "First Column Is Identier.\" a) This sample is a snapshot of the population you identied in number one. Make a histogram and paste it in the space below. [4 pts] b) What does the shape of the histogram tell you about TVwatching habits among students? Write a sentence...) [4 pts] c) How many standard deviations above the mean is a student who watches TV for 20 hours a week? Show your calculations. [3 pts] Condence interval 3. Using the same data. paste it w StatKey.Ir Bootstrap Cl's 1" Single Mean. Run 1 bootstrap sample. 4 times. Find the mean of your 4 means. [2 pts] BS Mean 1 BS Mean 2 BS Mean 3 BS Mean 4 Mean of Means 4. Run (at least) 1000 bootstrap means. Estimate SE[xbar). [3 pts] 5. Find a 95% condence interval for mu. the mean number of hours watched per week by the population of all students. Show your thought process. [4 pts] 6. Interpret your results in a sentence. [4 pts]