A new type of corn seed has been developed and a team of agronomistswanted to determine whether there was a significant difference between thetypes of soils that they are planted in (loam, sandy, salty, clay) based on the yieldof the crop, the amount of water required, and the amount of herbicide needed.Eight fields of each type were chosen for the analysis.Correlation matrixyieldwaterherbicideBox's M Testdf1df2Fp-valueyield water herbicide1 0.2026630.202663-0.12991 0.22369414.97038182770.4540.6653920.8479741-0.1299147110.223694166MANOVA1Pillai TraceWilk's LambdaHotelling TraceDeterminant EDetrminant Tstat0.53450.9946916097489.21871826093Group MeansloamsandysaltyclaytotalFyieldwater herbicide69.7125 32.7375 6.387562.57528.24.3555.3125 30.6375 3.862558.8375 33.0875 4.087561.60938 31.16563 4.671875df1df2countBased on the MANOVA output, what is the value of the Wilk's Lambdastatistic? (final answer to 4 decimal places)p-valueeto-sq0.046408 0.1781670.020472 0.2544260.008399 0.24399388What is the value of df1 associated with the F-statistic of Wilk's Lambda? (finalanswer is a whole number)

Given Information: Consider the given Excel output.

Answered: A new type of corn seed has been…

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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Create a correlation matrix Table in APA style to report the correlations among these variables, along with their Ms and SDs.
The structure of a two-factor study can be presented as a matrix with the levels of one factordetermining the rows and the levels of the second factor determining the columns. With thisstructure in mind, describe the mean differences that are evaluated by each of the threehypothesis tests that make up a two-factor ANOVA.
The structure of a two-factor study can be presented as a matrix with a level of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean differences that are evaluated by each of the three hypothesis test that make up a two-factor ANOVA
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A survey conducted by a research team was to investigate how the education level, tenure in current employment, and age, are related to annual income. A sample 20 emloyees is selected and the data is given below. 1. Develop a correlation matrix with annual income as the dependent variable. What does the correlation indicate about the relationship between the variables and income?
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As horses get older, poor hoof and tendon health leads to joint pain, reducing a horse’s activity level. Such a reduction can lead to other health concerns such as obesity and a decrease in energy due to lack of exercise. A study is to be conducted to determine which of two diet supplements, Vitamin C and D-cycloserine, is more effective in promoting hoof and tendon health and reducing the onset of osteoporosis in horses. Researchers will randomly select a total of 300 horses from ten different large animal veterinary practices around the country. All of the horses are more than 5 years old, and their owners have given consent to participate in the study. Changes in hoof and tendon health will be evaluated after 6 months of treatment. What would be an advantage to adding a control group in the design of this study? Assuming a control group is added to the other two groups in the study, explain how you would assign the 300 horses to these three groups for a completely randomized…
What is Correlation Matrix?
A researcher is examining the effects of weight status and hunger on eating behavior. In this 2 X 2 factor study, participants (obese vs. normal weight) are randomly assigned to participate in one of two hunger status conditions (full stomach vs. empty stomach). Then during the study, participants are presented with crackers to eat. The researcher is looking to see if weight status, hunger status and an interaction between the two influence eating behavior. Considering this data, what would be the statistical and null hypothesis for the main effect for weight status? Select one: a. H1: μobese = μnormal weight Ho: μobese ≠ μnormal weight b. H1: μfull stomach ≠ μempty stomach Ho: μfull stomach = μempty stomach c. H1: μfull stomach = μempty stomach, Ho: μfull stomach ≠ μempty stomach d. H1: μobese ≠ μnormal weight Ho: μobese = μnormal weight
In an agricultural experiment using barley, the effects of various commercial fertilizers and planting densities on yield were studied. Six different commercial fertilizers were used and the barley was planted in three different densities. The plots used were quite uniform with respect to soil characteristics, drainage, etc. The yields in kilograms per plot are recorded in the following table. Analyze these data completely as a Factorial Design Two-Way ANOVA. Discuss the results in terms of interactions and main effects. What combination of fertilizer and planting density would you recommend to barley growers? Why? (You do not need to calculate by hand, use SAS program) Plant density Commercial fertilizer A I II III VI V VI 27 26 31 30 25 30 29 25 30 27 25 32 26 24 30 33 26 28 26 29 33 30 24 30 B 30 28 31 32 28 31 30 29…

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