Factorial Analysis of Cloud Seeding
This data you will analyze comes from an experiment designed to determine if
cloud seeding increased the precipitation in a region during the four seasons of
the year. In this activity you will determine if there is a significant difference
in precipitation between the seeded and unseeded clouds during the seasons in which the data was collected.
In this activity, you will do a factorial analysis (Two-Way ANOVA) of data collected in a study to determine if there is a difference in rainfall due to cloud seeding during different seasons of the year.
Scientists are experimenting with ways to increase precipitation using new methods of cloud seeding. Cloud seeding is the deliberate treatment of
specific clouds or cloud systems with the intent of altering the precipitation process within
the clouds. Cloud seeding is utilized in order to: increase precipitation, improve visibility, and suppress hail. The majority of seeding
is done to try to increase precipitation.
Cloud seeding causes super-cooled liquid water droplets to freeze. This process is achieved
by spraying an ice-forming agent, such as silver iodide, into the
clouds. If the conditions are favorable, droplets will form around the iodide
particles and precipitation will begin. To learn more about this
topic, refer to these websites: Cloud Seeding or Weather Modification
| Factor I (Cloud Seeding) |
| Seeded | Unseeded | ||
| Winter | 8 rainfall points | 8 rainfall points | |
| Factor II | Spring | 8 rainfall points | 8 rainfall points |
| (Season) | Summer | 8 rainfall points | 8 rainfall points |
| Autumn | 8 rainfall points | 8 rainfall points |
Is there a significant difference in the mean precipitation of seeded and unseeded clouds? Why? Is there a significant difference in the mean precipitation between the seasons? Why? Is there a significant interaction? Why? What does the interaction term tell you about the relationship between the two factors?