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Math from the Real World. Hot and Cold in Mount Vernon Avg. low, mean, high temps In Mount Vernon In degrees Fahrenheit JanFebMarAprMayJunJulAugSepOctNovDec.

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Presentation on theme: "Math from the Real World. Hot and Cold in Mount Vernon Avg. low, mean, high temps In Mount Vernon In degrees Fahrenheit JanFebMarAprMayJunJulAugSepOctNovDec."— Presentation transcript:

1 Math from the Real World

2 Hot and Cold in Mount Vernon Avg. low, mean, high temps In Mount Vernon In degrees Fahrenheit JanFebMarAprMayJunJulAugSepOctNovDec Avg. High 32°35°47°58°70°78°84°82°75°64°50°37° Avg. Low 12°15°26°35°45°54°57°55°48°37°28°18° Mean24°26°37°48°58°67°71°68°62°51°40°28°

3 Hot and Cold in Mount Vernon Avg. low, mean, high temps Connecting the dots

4 Hot and Cold in Mount Vernon Now we repeat the pattern over three years. This allows us to predict average temperatures in the future.

5 Hot and Cold in Mount Vernon

6 Ball Toss Horizontal pos. vs. time Vertical pos. vs. time

7 Ball Toss Horizontal pos. vs. time Vertical pos. vs. time

8 Body Proportions Armspan vs. height (cm.) Footlength vs. height (cm.)

9 Body Proportions Armspan vs. height (cm.) Foot length vs. height (cm.)

10 Radioactive Decay (Indium) Thanks to Mr. K. in the Physics lab for giving us this data. The data were generated from the decay of indium foils that were exposed to our neutron source and counted with a Geiger counter.

11 Radioactive Decay (Indium) Thanks to Mr. K. in the Physics lab for giving us this data. The data were generated from the decay of indium foils that were exposed to our neutron source and counted with a Geiger counter.

12 Bacteria Growth

13 Bacillus subtilis growth curve data Thanks to Prof. Slonczewski in the biology department for giving us this data. Bacteria were placed in media with pH of 6 and 7.4 and allowed to grow. Then they were “thinned out into fresh media of varying pH (6 to 6 and 7.4; 7.4 to 7.4 and 8.8) to see which pH shift most negatively affected the growth.

14 Conclusions? pH 6 to 6 and 7.4 pH 7.4 to 7.4 and 8.8

15 The “real” world gives us data. We use the data sets to construct mathematical models We use mathematics to study the models We draw conclusions about the real world the model


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