24. The treatments and experimental units in the study are respectively. O A. carbon dioxide levels; and the plants O B. carbon dioxide levels; and the aquariums C. aquariums; and the plants O D. plant height, and the aquariums 0.088 and
24. The treatments and experimental units in the study are respectively. O A. carbon dioxide levels; and the plants O B. carbon dioxide levels; and the aquariums C. aquariums; and the plants O D. plant height, and the aquariums 0.088 and
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter1: Variables, Expressions, And Integers
Section1.5: Adding Integers
Problem 45E
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Transcribed Image Text:P-value - 0.088
and
24. The treatments and experimental units in the study are
respectively.
O A. carbon dioxide levels; and the plants
O B. carbon dioxide levels; and the aquariums
O C. aquariums; and the plants
O D. plant height; and the aquariums

Transcribed Image Text:For numbers 24-26: Aquascaping involves growing aquatic plants and
aesthetically arranging them in an aquarium like a natural landscape. Success of
growing plants depends on several factors such as light condition, water pH, and
carbon dioxide level. It is of interest to determine if varying concentrations of
carbon dioxide (0.5 ppm, 1.2 ppm, 1.5 ppm) introduced to an aquarium will
promote or deter an aquatic plants' growth. Ten aquariums with one-week old
plant were set-up and randomly assigned to each treatment. Below are the R
outputs with 5% level of significance.
data:
0.5
Wilk-Shapiro Test for Normality
data: 1.2
p-value = 0.324
p-value = 0.2534
data: 1.5
p-value = 0.6369
Bartlett test of homogeneity of variances
height by carbon dioxide
data:
Bartlett's K-squared 4.5623, df = 2, p-value = 0.1022
Analysis of Variance
Df Sum Sq Mean Sq F value Pr (>F)
carbon dioxide 2 88.73 44.37 6.131 0.0289 *
Residuals
7
50.65
7.24
.
Signif. codes: 0 ***** 0.001 **** 0.01 0.05 ¹.¹ 0.1 ¹ ¹ 1
Kruskal-Wallis Rank Sum Test
data: height by carbon dioxide
= 0.08868
Kruskal-Wallis chi-squared = 4.8455, df = 2, p-value
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