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Global Temperature Anomalies for the years 1750 - 2017 2.50 A(t) = (9 × 10-)e* - (4. 89 × 10*)e? + (9.03 × 10*)² - 0.06061 +0.62 2.00 1.50 1.00 0.50 0.00 -0.50 -1.00 -1.50 -2.00 -2.50 200 250 300 50 100 150 Time (Years since 1750) absevuations 4 scatterplot displays Global temperature araoMAen anomoly For each A 1750 unil 2017. • for pur poses of calculation, ihe scater plot hovizonial aris is measuved in years since 1750 (2017-1750 = 267 years) • base line temperature for each ytar is dynamic as il is a 'volling average'of the global average temp. Arom 1750 until year of inierest. Temperature anomoly for yeaV 1995 (245 yeais since 1750) is 0.73+, meaning the glabal average temp. in 1995 was 0.73t noiter than overals average temp Prom 1750 nntil 199 Trendiine for scafterplot 1s a polynemiai ef degree 4 with Cormula: from year )determine the garnk equation of the gradient function Ar the trandline. Davaph trendline (ust desmos?) 1o identify: a. roovdinales Of any turning poirts . the Tange of years For whicn the temperature anomuly is: i. increasing, il. decreasing Interpret $ ex plain values calculated ing puestion 2. Use eguation of trendline to calculate the average rate of 1960. use equation oe frendline to caiculate avorage rate of change between years 1960-2017 ompare results from ques frons 4 Es, Injerpret any difrerences and explain heW thi uld be used as evidence Par of against climate change. inge between yeavs 1750- redict rate at which global temperatures will be (hanging in the year 2041 (tars erom now a bove scatferplot, data poinis from earlier years (1750-1500) are more erratic than ata points in later years (1900-1950). Explnin mathematically why this would happe d what implicalions (If any) this wenld nave for arguments for ragainst climate Global Temperature Anomaly (°C)

Global Temperature Anomalies for the years 1750 - 2017 2.50 A(t) = (9 × 10-)e* - (4. 89 × 10*)e? + (9.03 × 10*)² - 0.06061 +0.62 2.00 1.50 1.00 0.50 0.00 -0.50 -1.00 -1.50 -2.00 -2.50 200 250 300 50 100 150 Time (Years since 1750) absevuations 4 scatterplot displays Global temperature araoMAen anomoly For each A 1750 unil 2017. • for pur poses of calculation, ihe scater plot hovizonial aris is measuved in years since 1750 (2017-1750 = 267 years) • base line temperature for each ytar is dynamic as il is a 'volling average'of the global average temp. Arom 1750 until year of inierest. Temperature anomoly for yeaV 1995 (245 yeais since 1750) is 0.73+, meaning the glabal average temp. in 1995 was 0.73t noiter than overals average temp Prom 1750 nntil 199 Trendiine for scafterplot 1s a polynemiai ef degree 4 with Cormula: from year )determine the garnk equation of the gradient function Ar the trandline. Davaph trendline (ust desmos?) 1o identify: a. roovdinales Of any turning poirts . the Tange of years For whicn the temperature anomuly is: i. increasing, il. decreasing Interpret $ ex plain values calculated ing puestion 2. Use eguation of trendline to calculate the average rate of 1960. use equation oe frendline to caiculate avorage rate of change between years 1960-2017 ompare results from ques frons 4 Es, Injerpret any difrerences and explain heW thi uld be used as evidence Par of against climate change. inge between yeavs 1750- redict rate at which global temperatures will be (hanging in the year 2041 (tars erom now a bove scatferplot, data poinis from earlier years (1750-1500) are more erratic than ata points in later years (1900-1950). Explnin mathematically why this would happe d what implicalions (If any) this wenld nave for arguments for ragainst climate Global Temperature Anomaly (°C)

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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control option comm Global Temperature Anomalies for the years 1750 - 2017 2.50 A(t) = (9 × 10-9)e* – (4.89 × 10"6)e² + (9.03 × 10“)² – 0.0606t + 0.62 2.00 1.50 1.00 0.50 0.00 -0.50 -1.00 -1.50 -2.00 -2.50 50 100 150 200 250 300 Time (Years since 1750) abseruations 4 scatterplot displays Global temperature araoATtion anomoly For each year FVOM A 1750 unil 2017. • fov pur poses of calculation, the scater plot hovizontal axis is measuved in years since 1750 (2017- 1750 = 267 years) • base line temperature for each yrar is dynamic as it is a 'rosling average' of the global average temp. Arom 1750 until year of interist. • Temperature anomoly for year 1995 (245 yeqis since 1750) is 0.73+, meaning the global average temp. in 1995 was 0.73 noiter than overals average temp From 1750 nntil 1995. irendiine for scafterplot 1s a polynomiai of degree 4 wth cormula: > ACE)= (9xl0 ") t4-(4.89x 10)E>+4,03X104)t²-0-0606E+0.62 1) determine the gammaak equation of the gradient function Ar the trandline. 2) araph trendline (use desmos?) 40 identify: a. roovdinates of any turning points 0. the Tange of years For whien the temperature anomoly is: i. increasing, i. decreasing. 3) Interpret $ explain values calculated ing puestion 2. 4) Use eguation of trendline to calculate ihe average rate of change between yeavs 1750- 1960. 5) use equation of frendline to calculate average rate of change between years 1960-2017. 6) compare results from ques frons 4 $5, Interpret any differences and explain hew thiS Cuuld be used as evidence Por or against climate change. 7) predict rate at which glubal temperatures will be changing in the year 2041 (tars 3) in above scatferplot, data poinis from earlier years (1750-1500) are more erratic than data points in later years (I1900-1950). Explnin mathematically why this would happen and what implicalions (If any) this would have for argument's for ragainst climate change. now) Global Temperature Anomaly (°C)
Transcribed Image Text:control option comm Global Temperature Anomalies for the years 1750 - 2017 2.50 A(t) = (9 × 10-9)e* – (4.89 × 10"6)e² + (9.03 × 10“)² – 0.0606t + 0.62 2.00 1.50 1.00 0.50 0.00 -0.50 -1.00 -1.50 -2.00 -2.50 50 100 150 200 250 300 Time (Years since 1750) abseruations 4 scatterplot displays Global temperature araoATtion anomoly For each year FVOM A 1750 unil 2017. • fov pur poses of calculation, the scater plot hovizontal axis is measuved in years since 1750 (2017- 1750 = 267 years) • base line temperature for each yrar is dynamic as it is a 'rosling average' of the global average temp. Arom 1750 until year of interist. • Temperature anomoly for year 1995 (245 yeqis since 1750) is 0.73+, meaning the global average temp. in 1995 was 0.73 noiter than overals average temp From 1750 nntil 1995. irendiine for scafterplot 1s a polynomiai of degree 4 wth cormula: > ACE)= (9xl0 ") t4-(4.89x 10)E>+4,03X104)t²-0-0606E+0.62 1) determine the gammaak equation of the gradient function Ar the trandline. 2) araph trendline (use desmos?) 40 identify: a. roovdinates of any turning points 0. the Tange of years For whien the temperature anomoly is: i. increasing, i. decreasing. 3) Interpret $ explain values calculated ing puestion 2. 4) Use eguation of trendline to calculate ihe average rate of change between yeavs 1750- 1960. 5) use equation of frendline to calculate average rate of change between years 1960-2017. 6) compare results from ques frons 4 $5, Interpret any differences and explain hew thiS Cuuld be used as evidence Por or against climate change. 7) predict rate at which glubal temperatures will be changing in the year 2041 (tars 3) in above scatferplot, data poinis from earlier years (1750-1500) are more erratic than data points in later years (I1900-1950). Explnin mathematically why this would happen and what implicalions (If any) this would have for argument's for ragainst climate change. now) Global Temperature Anomaly (°C)
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