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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

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 53E
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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: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
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
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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