Identify the factors, factor levels, treatment combinations, experimental units, response variable, and blocking factor (if any).  a. factors and factor levels: _________________________ b. treatment combinations: _________________________ c. experimental units: _________________________ d. response variable: _______________

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Identify the factors, factor levels, treatment combinations, experimental
units, response variable, and blocking factor (if any). 
a. factors and factor levels: _________________________
b. treatment combinations: _________________________
c. experimental units: _________________________
d. response variable: _________________________
e. design structure: _________________________

data: Pesticide 1 Method A
Shapiro-Wilk normality test
W = 1.00000,
data: Pesticide 1 Method B
Shapiro-Wilk normality test
W = 0.96429,
p-value
p-value = 1.0000
0.6369
data: Pesticide 2 Method A
Shapiro-Wilk normality test
W = 0.98684
data: Pesticide 2 Method B
Shapiro-Wilk normality test
W= 0.96429
p-value - 0.7804
p-value 0.6369
Bartlett test of homogeneity of variances
data: survival time by trmcombin
Bartlett's K-squared 1.4136, df = 3, p-value = 0.7024
Levene's Test for Homogeneity of Variance (center = "mean")
Df F value Pr (>F)
group 3 0.8718 0.4947
8
Anova Table (Type II tests)
Response: survival_time
Sum Sq Df F value
Pr (>F)
0.02851 *
method
21.33 1
7.1111
pesticide
341.33 1 113.7778
0.000005232 ***
0.34659
method:pesticide
3.00 1 1.0000
24.00 8
Residuals
1
Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05 0.1
Kruskal-Wallis rank sum test
data: survival time by trmcombin
Kruskal-Wallis chi-squared = 9.6573, df = 3, p-value = 0.02172
Transcribed Image Text:data: Pesticide 1 Method A Shapiro-Wilk normality test W = 1.00000, data: Pesticide 1 Method B Shapiro-Wilk normality test W = 0.96429, p-value p-value = 1.0000 0.6369 data: Pesticide 2 Method A Shapiro-Wilk normality test W = 0.98684 data: Pesticide 2 Method B Shapiro-Wilk normality test W= 0.96429 p-value - 0.7804 p-value 0.6369 Bartlett test of homogeneity of variances data: survival time by trmcombin Bartlett's K-squared 1.4136, df = 3, p-value = 0.7024 Levene's Test for Homogeneity of Variance (center = "mean") Df F value Pr (>F) group 3 0.8718 0.4947 8 Anova Table (Type II tests) Response: survival_time Sum Sq Df F value Pr (>F) 0.02851 * method 21.33 1 7.1111 pesticide 341.33 1 113.7778 0.000005232 *** 0.34659 method:pesticide 3.00 1 1.0000 24.00 8 Residuals 1 Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05 0.1 Kruskal-Wallis rank sum test data: survival time by trmcombin Kruskal-Wallis chi-squared = 9.6573, df = 3, p-value = 0.02172
Problem: Mr. Kinalabaw, an owner of a mango plantation, is worried about the
increasing number of fruit piercing moths present in most of the mango trees in his
farm. He then asked for Concon's help, his trusted statistician, in resolving the
problem. They identified two types of pesticide (1, 2) and two methods of
application (A, B). They applied each treatment combination to 3 fruit piercing
moths. Their survival time (in minutes) was recorded.
Pesticide
Method of
Application
Survival Time (in minutes)
A
31
29
30
1
B
28
30
27
A
23
18
20
2
B
17
15
18
Transcribed Image Text:Problem: Mr. Kinalabaw, an owner of a mango plantation, is worried about the increasing number of fruit piercing moths present in most of the mango trees in his farm. He then asked for Concon's help, his trusted statistician, in resolving the problem. They identified two types of pesticide (1, 2) and two methods of application (A, B). They applied each treatment combination to 3 fruit piercing moths. Their survival time (in minutes) was recorded. Pesticide Method of Application Survival Time (in minutes) A 31 29 30 1 B 28 30 27 A 23 18 20 2 B 17 15 18
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