In an toxicity experiment, batches of fruit flies were exposed to different dose

Question

In an toxicity experiment, batches of fruit flies were exposed to different doses of nicotine. The data are given in Table 1 Table 1: Toxicity Experiment Data concentration (X 100cc number of flies (n number killed (v) 10 14 15 53 .20 24 30 52 32 46 38 54 50 52 50 (a The following is a R program and output x c(.1,.15, .2, .3,.5, .7, .95) n c( 47,53,55,52,46,54,52) y c(8,14, 24,32,38,50,50) fit1 glm(cbindly ,n-y) x, family binomial) summary (fit1) Call: gln (formula cbind y, n y) x, family binomial) Deviance Residuals [1] 1.2945 0.7601 0.8086 1.1253 0.3828 -0.2733 1.2266 Coefficients

Explanation / Answer

1) model fitted by R program y= 3.1236+2.1279log(x)

2)fit 1 is bettwe since AIC for fit1 is higher that fit2 and hence fit2 is a better model than fit 1

3)ED50 = 11.448

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