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Exponential Data 1 Time Fluorescence 0.21666666666666667 2.2229405970230673 0.23333333333333334 2.1380382172476224 0.25 2.2444369345148543 0.26666666666666666 2.1975859661635115 0.2833333333333333 2.159979996117131 0.3 2.1805185491317993 0.31666666666666665 2.187114154256918 0.3333333333333333 2.2124154654500727 0.35 2.060334926963474 0.36666666666666664 1.864714111419577

Exponential Data 1

Time

Fluorescence

0.21666666666666667

2.2229405970230673

0.23333333333333334

2.1380382172476224

0.25

2.2444369345148543

0.26666666666666666

2.1975859661635115

0.2833333333333333

2.159979996117131

0.3

2.1805185491317993

0.31666666666666665

2.187114154256918

0.3333333333333333

2.2124154654500727

0.35

2.060334926963474

0.36666666666666664

1.864714111419577

0.3833333333333333

1.8842371381318022

0.4

2.0179258992800384

0.4166666666666667

1.954189779053079

0.43333333333333335

2.0039005143333837

0.45

1.8009050926832557

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(20 pts) The data file "exponential-data-1.csv" contains simulated fluorescence decay data that is exchanging between an unknown number of states. Assuming that each state decays independently, then Y=mi=1neRit+b+N(0,) for n states where describes the instrument noise. Using the software of your choice, a) (5 pts) fit models for n between 1 and 5 (5 total models) b) (6 pts) plot (i) the data and (ii) the best fit lines c) (4 pts) report the resulting best-fit values, the summed logL, and the associated AIC for each n d) (5 pts) based on the analysis, how many states (n) would you infer are present and why

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