10.9. Mickey 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) 10 15 20 35 50 70 90 Number of rats. 50 50 50 50 50 50 50 Number of rats killed 20 26 27 36 35 41 45 Table 3.2 Transformation of percentages to probits % 3 4 5 6 7 8 9 0 2.67 2.95 3.12 3.25 3.36 3.45 3.52 3.59 3.66 10 3.72 3.77 3.82 3.87 3.92 3.96 4.01 4.05 4.08 4.12 20 4.16 4.19 4.23 4.26 4.29 4.33 4.36 4.39 4.42 4.45 30 4.48 4.50 4.53 4.50 4.59 4.61 4.64 4.67 4.69 4.72 40 4.75 4.77 4.80 4.82 4.85 4.87 4.90 4.92 4.95 4.97 50 5.00 5.03 5.05 5.08 5.10 5.13 5.15 5.18 5.20 5.23 GO 5.25 5.28 5.31 5.33 5.36 5.39 5.41 5.44 5.47 5.50 70 5.52 5.55 5.58 5.61 5.64 5.64 5.67 5.71 5.74 5.77 5.81 80 5.84 5.88 5.92 5.95 5.99 6.04 6.08 6.13 6.18 6.23 90 6.28 6.34 6.41 6.48 6.55 6.64 6.75 6.88 7.05 7.33 0.2 0.0 0.1 0.3 0.4 0.5 0.6 0.7 0.8 0.9 99 7.33 7.37 7.41 7.46 7.51 7.58 7.65 7.75 7.88 8.09 - 0 - 12 2 Mickey computed the log doses, the percentage of killed rats, and the empirical probits for all doses. Mickey's next step to obtain the probit model is run a __________ using empirical probit as dependent variable and independent variable. as the A. Probit model; number of rats B. Probit model; empirical probits C. Linear regression model; log dose D. Linear regression model: number of rats
10.9. Mickey 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) 10 15 20 35 50 70 90 Number of rats. 50 50 50 50 50 50 50 Number of rats killed 20 26 27 36 35 41 45 Table 3.2 Transformation of percentages to probits % 3 4 5 6 7 8 9 0 2.67 2.95 3.12 3.25 3.36 3.45 3.52 3.59 3.66 10 3.72 3.77 3.82 3.87 3.92 3.96 4.01 4.05 4.08 4.12 20 4.16 4.19 4.23 4.26 4.29 4.33 4.36 4.39 4.42 4.45 30 4.48 4.50 4.53 4.50 4.59 4.61 4.64 4.67 4.69 4.72 40 4.75 4.77 4.80 4.82 4.85 4.87 4.90 4.92 4.95 4.97 50 5.00 5.03 5.05 5.08 5.10 5.13 5.15 5.18 5.20 5.23 GO 5.25 5.28 5.31 5.33 5.36 5.39 5.41 5.44 5.47 5.50 70 5.52 5.55 5.58 5.61 5.64 5.64 5.67 5.71 5.74 5.77 5.81 80 5.84 5.88 5.92 5.95 5.99 6.04 6.08 6.13 6.18 6.23 90 6.28 6.34 6.41 6.48 6.55 6.64 6.75 6.88 7.05 7.33 0.2 0.0 0.1 0.3 0.4 0.5 0.6 0.7 0.8 0.9 99 7.33 7.37 7.41 7.46 7.51 7.58 7.65 7.75 7.88 8.09 - 0 - 12 2 Mickey computed the log doses, the percentage of killed rats, and the empirical probits for all doses. Mickey's next step to obtain the probit model is run a __________ using empirical probit as dependent variable and independent variable. as the A. Probit model; number of rats B. Probit model; empirical probits C. Linear regression model; log dose D. Linear regression model: number of rats
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
(O10) Helping tags: Statistics, Analysis of Relationships Among Variables, Logistic
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WILL UPVOTE, just pls help me answer the following questions in the attached image. Pls show complete solutions and explain them. Thank you!
Transcribed Image Text:10.9. Mickey 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)
10
15
20
35
50
70
90
Number of rats
50
50
50
50
50
50
50
Number of rats killed
20
26
27
36
35
41
45
Table 3.2 Transformation of percentages to probits
% 0
2
3 4
6 7 8 9
1
5
0-
2.67 2.95 3.12 3.25 3.36 3.45 3.52 3.59 3.66
10 3.72 3.77 3.82 3.87 3.92 3.96 4.01 4.05 4.08 4.12
20 4.16 4.19 4.23 4.26 4.29 4.33 4.36 4.39 4.42 4.45
30 4.48 4.50 4.53 4.50 4.59 4.61 4.64 4.67 4.69 4.72
40 4.75 4.77 4.80 4.82 4.85 4.87 4.90 4.92 4.95 4.97
50 5.00 5.03
5.03 5.05 5.08 5.10 5.13 5.15 5.18 5.20 5.23
60 5.25 5.28 5.31 5.33 5.36 5.39 5.41 5.44 5.47 5.50
70 5.52 5.55 5.58 5.61 5.64 5.67 5.71 5.74 5.77 5.81
80 5.84 5.88 5.92 5.95 5.99 6.04 6.08 6.13 6.18 6.23
90 6.28 6.34 0.41
6.34 6.41 6.48 6.55 6.64 6.75 6.88 7.05 7.33
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
99 7.33 7.37 7.41 7.40 7.51 7.58 7.65 7.75 7.88 8.09
Mickey computed the log doses, the percentage of killed rats, and the
empirical probits for all doses. Mickey's next step to obtain the probit model
is run a ___________ using empirical probit as dependent variable and
independent variable.
as the
A. Probit model; number of rats
B. Probit model; empirical probits
C. Linear regression model; log dose
D. Linear regression model; number of rats
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