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Analyze Arctic sea ice data using statistical methods such as histogram, line plot, and box plot to identify trends, outliers, and associations over time. Explore impacts of environmental changes on arctic wildlife and global climate.
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The Environmental Thread Arctic Sea Ice Examined in Statistics
Data Analysis • Use Arctic Sea Ice Data for construction of: • Histogram • Line Plot • Box Plot (examine for outliers)
Histogram Describe the distribution
Plot Versus Time Does there appear to be a trend?
Box Plot Are there any outliers?
Revisit Data Later • Create a scatter plot • Determine the LSRL • Examine r^2 • Examine r • Examine residual plot
Revisited Data Is a linear model appropriate?
Re-revisit Data Even Later • Inference about the slope for association • Null: Β = 0 (no association between year and MSK’s of arctic ice) • Alternative: Β < 0 (The MSK’s of arctic ice is significantly decreasing over time)
Along The Way • Students will be asked to research the causes of the reduction of arctic ice • Students will be asked to research the environmental impact of the reduction
Presumed Ancillary Conversations • Global Warming, I mean Climate Change, will be the primary reason for the reduction. • Animal population of arctic wildlife such as polar bears, penguins, and seals will undoubtedly be listed as points of impact.
So What? • Climate change will allow my class to explore average global temperature and CO2 levels over time. CO2 levels will allow us to explore data straightening techniques • Populations usually follow exponential models, which will allow us to further explore data straightening techniques
Moving Forward • Compare arctic sea ice levels with CO2 • Compare arctic sea ice levels to animal populations • Are problems a result of human fossil fuel consumption?