I want to explain these outputs ? Dependent Variable: Fresh_weightTreatment TypeMeancontrol3dS6dS9dS12dSDescriptive StatisticsTotalOmaniImproveTotalOmaniImproveTotalOmaniImproveTotalOmaniImproveTotalOmaniImproveTotalOmaniImproveTotal1.15131.19931.1737.99091.01961.0043.8875.9486.9160.7744.6839.7322.32252818.3035.8253.8266.8259Std. Deviation25650.16273.21742.24197156072052317674.187491828813629.18661.16663.0636507237.07032.3373935617.34570N322860322860322860322860322860160140300 Between-Subjects FactorsValue LabelTreatment 1.00control2.003dS3.006dS4.009dS5.00 12dS1.002.00TypeOmaniImproveN6060606060160140

From the given information, There are two factors, Treatment and Type. Treatment has 5 categories…

Answered: I want to explain these output

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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Below is my script for some problems I am doing in RStudio. How do I code to get the statistical data that shows how the male tv hours differ to the female tv hours? Chapter 2 R Lab.R X StudentSurvey.(1) x Source on SaveE T # 3- Ine Exercise nours are skewea Tert 8 xtabs (~Year, Student Survey. (1)) 9 # 1- The highest concentration of students are Sophomores 10 table(Year)/length (Year) II # 2- The relative frequency for seniors was 0.1% (rounded) 11 Student Survey. (1) STV 12 12 TV 13 14 23 15 16 29 18 19 20 21 22 23 21 24:1 hist (TV) →→Run boxplot (TV) # 6- Based on the box plot there is not a smallest outlier, but there are large outliers # The outliers for hours spent watching TV are any values above 20 hours Survey - Student Survey. (1) #Renaming xtabs (~Sex, Survey) install.packages ("lattice") library("lattice") bwplot (TV Sex, Survey) # 7- Men on average watch more TV # 8- Men have more variability in hours watching TV (Top Level) + Source R Script =
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Is the following statement true or false? If false explain briefly. Some of the residuals from a least squares linear model will be positive and some will be negative. (Don't Hand writing in solution)
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You want to determine how many loaves of Bread are sold per day at Schat’s Bakery. You stand outside for ten different randomly selected days, count the number of loaves, and then average them. You come up with 421 loaves per day. In reality, Schat’s keeps records of how many loaves they sell per day, and in they averaged 395 loaves per day. What is the static in the above example?
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