MA418 Statistics Project for Spring Term 2015.doc

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MA418 Statistics Project for Spring Term 2015.doc

MA418 Statistics Project for Spring Term 2011 Goal: Collecting and analyzing weather data This project is a modification of a project described at /triola The Weather Underground () was created by a team of students and professors at the University of Michigan and shortly thereafter became a public company providing current and historical weather data for the United States and other countries. At the top of the Weather Underground home page you will find a box for entering the name of a city, state or country. For practice, enter your home city or a favorite city to see the current weather conditions there. Note that at the bottom of the current conditions table, there is a box marked Historical Conditions in which you can enter a date to see statistics for any day from the past five years. For example, the data on June 1, 2002 for New Orleans, LA looks like: Mean Temperature 83.3 o F Max Temperature 91.4 o F Min Temperature 75.2 o F Cooling Degree Days 18 . . . . . . ? Experiment with this feature until you are comfortable with finding historical weather data. To begin your project, you need to get the name of a city from the instructor. Request one by e-mail. Then you go to and collect the maximum temperature readings for 10 to 20 different days in that city in the following months: February and August of the most recent year containing both. February and August two years previous. It will take 40 to 80 refreshings of the data page but it doesnt take long. Record your collected data in four different tables or lists. Mark the tables (or lists) appropriately. Maintain your records as computer files (documents). These are your tasks in the project: 1.? Compute 90% confidence intervals for the average daily maximum temperature in February for each of the two years in which you collected data. How do they compare? 2.? Compute 90% confidence intervals for the average daily maximum temperature in August f

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