In this project, you will compute confidence intervals. In particular, you will compute confidence intervals for the same quantity measured at different times, and you will then compare these intervals. The subject is temperature and the patterns exhibited over several years.At the top of the Weather Underground home page you will find a box for entering the name of a city, state or country. 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. Collect the Max Temperature reading for each day in YOUR home city or a city near you in
1. February and August of the most recent year containing both.
2. February and August two years previous
3. February and August 4 years previous
1. Compute 99% confidence intervals for the average daily maximum temperature in February for each of the three years in which you collected data. How do they compare?
2. Compute 99% confidence intervals for the average daily maximum temperature in August for each of the three years in which you collected data. How do they compare?