Community Fact or Fiction (ST)

$15.00

Have you ever wondered how many pizzas are served in a day in your town?  Or how many acres of permanently conserved land there are in your town? Do you think your neighbors know?  In this three-part challenge you will begin by investigating facts about your hometown in an area of interest to your team. Once you know the facts, you will interview a sample of community members and perform a statistical analysis to reveal the differences between belief and fact. The results will teach  – and astonish – everyone about an unusual facet of your community…which  (part three) your team will report as Special Human Interest segment called, Did You Know?!

Description

Have you ever wondered how many cars pass by your school every hour?  Or how many trees there are within the borders of your town?  Do you think your neighbors know?  In this challenge you will investigate facts about your hometown, separating truth from fiction and informing the uninformed – perhaps yourselves included! Here’s the plan. Your team has been hired by a local TV news outlet to produce a short-format, human-interest segment to be released as part of their Community Fact or … Fiction? TV series. The goal of the series is to inform locals about some of the unusual facts that shape the community in which they live.  Your goal, specifically, is to find data that defy intuition – facts that make people say, “Wow, I would never have thought….” After researching your data to expose these cool facts about your town, you will interview a sample of community members and perform a statistical analysis to reveal the differences between belief and fact. The results will teach – and astonish – everyone about an unusual facet of your community. In order to accomplish this your team will have to collect, organize, and interpret data – utilizing statistical methods learned in class.  You will collect data three ways: 1) measuring or counting to find the truth about the chosen features; 2) conducting online or archival research to find the truth about the chosen features, and 3) interviewing/polling members of the community regarding what they believe about the features you chose.  You will then conduct analysis of the data.