For hun equally divided among seven doses (in grams) of rat poison. The data is given below: Dose (in grams) Number of rats Number of rats killed 10 50 20 15 50 26 20 50 27 35 50 36 50 50 35 70 50 41 90 50 45 12. Mickey used R in fitting the probit model. He obtained the following values: a = 3.27 and b = 1.46. The appropriate model to be used for computation of the lethal dose is O A. Pr(p) = 3.27+ 1.46*dose O B. Pr(p) = 3.27+ 1.46*logdose O C. Pr(p) = 1.46 +3.27*dose O D. Pr(p) = 1.46 + 3.27*logdose

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter8: Introduction To Functions
Section8.7: Functions Defined By Equations
Problem 13OE
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12
For numbers 10 to 13: Ratatouille wanted to determine the lethal dose for rat poison. He then observed a random sample of 350 rats
equally divided among seven doses (in grams) of rat poison. The data is given below:
Dose (in grams)
Number of rats
Number of rats killed
10
50
20
15
50
26
20
50
27
35
50
36
50
50
35
70
50
41
90
50
45
12. Mickey used R in fitting the probit model. He obtained the following values: a = 3.27 and b = 1.46. The appropriate model to be
used for computation of the lethal dose is
O A. Pr(p) = 3.27+ 1.46*dose
O B. Pr(p) = 3.27+ 1.46*logdose
O C. Pr(p) = 1.46 + 3.27*dose
O D. Pr(p) = 1.46 + 3.27*logdose
Transcribed Image Text:For numbers 10 to 13: Ratatouille wanted to determine the lethal dose for rat poison. He then observed a random sample of 350 rats equally divided among seven doses (in grams) of rat poison. The data is given below: Dose (in grams) Number of rats Number of rats killed 10 50 20 15 50 26 20 50 27 35 50 36 50 50 35 70 50 41 90 50 45 12. Mickey used R in fitting the probit model. He obtained the following values: a = 3.27 and b = 1.46. The appropriate model to be used for computation of the lethal dose is O A. Pr(p) = 3.27+ 1.46*dose O B. Pr(p) = 3.27+ 1.46*logdose O C. Pr(p) = 1.46 + 3.27*dose O D. Pr(p) = 1.46 + 3.27*logdose
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