Publications by Group 4
WQD7004 - Group 4
Introduction and Project Objectives YouTube has become a crucial platform for content creators and businesses. With more than 2.7 billion monthly active users (Times, 2024), it offers endless opportunities to engage with diverse audiences worldwide. Understanding video performance is essential for optimizing growth potential, and maximizing rev...
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Module 5 Homework
Library Used library(GAD) library(knitr) library(dplyr) library(tidyr) 1 Problem 5.2 From the ANOVA Table we have #Degree of Freedom of Main Factor A DF_A=1 #Degree of Freedom of Interaction AB DF_AB=3 #Degree of Freedom of Error DF_E=8 #Degree of Freedom of Total DF_T=15 #Sum of Square SSB = 180.378 SSAB = 8.479 SSE = 158.797 SST ...
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Module 4 Homework
Library Used library(car) library(tidyr) library(dplyr) library(agricolae) library(MASS) library(GAD) 1 Problem 3.23 The effective life of insulating fluids at an accelerated load of 35 kV is being studied. Test data have been obtained for four types of fluids. The results from a completely randomized experiment as follows 1.0.1 Data Inse...
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Homework on Module2
library(lawstat) library(dplyr) library(pwr) 1 Problem 2.24 Reading the data machine_1 <- c(16.03,16.04,16.05,16.05,16.02,16.01,15.96,15.98,16.02,15.99) machine_2 <- c(16.02,15.97,15.96,16.01,15.99,16.03,16.04,16.02,16.01,16.0) 1.1 (a) The Hypotheses that should be tested are \[ H_{0} : \mu_{1}=\mu_{2} =>\mu_{1}-\mu_{2}=0 \] \[ H_{a} : \mu...
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FA5_Group 2
1 Sample Size Determination for Question 1 We have, level of sig = 0.05 Type of test = paired standard deviation= 0.03 delta = 0.015 power=0.75 power.t.test(n=NULL,delta=.015,sd=.03,sig.level=.05, power=.75,type = c("paired"),alternative = c("one.sided") ) ## ## Paired t test power calculation ## ## n = 22.92961 ## ...
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FA2 Group4
1 Reading Data dat<-read.csv("https://raw.githubusercontent.com/tmatis12/datafiles/main/normtemp.csv") str(dat) ## 'data.frame': 130 obs. of 3 variables: ## $ Temp : num 96.3 96.7 96.9 97 97.1 97.1 97.1 97.2 97.3 97.4 ... ## $ Sex : int 1 1 1 1 1 1 1 1 1 1 ... ## $ Beats: int 70 71 74 80 73 75 82 64 69 70 ... dat$Sex<-as.factor(dat$S...
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Document
STAT231 (Data Science) welcome + first explorations in R and Quarto Author Mia N and Matthew P Published 2024-01-30 Data science and data acumen See chapter 2 of the Data Science for Undergraduates consensus report from the National Academies mathematical foundations computational foundations * statistical foundations data management and cur...
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First Exploration - Autri and Jonah
STAT231 (Data Science) welcome + first explorations in R and Quarto Author Autri B. and Jonah M. Published 2024-01-30 Data science and data acumen See chapter 2 of the Data Science for Undergraduates consensus report from the National Academies mathematical foundations computational foundations * statistical foundations data management and c...
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Document
STAT231 (Data Science) welcome + first explorations in R and Quarto Author Vicente T and Peter K Published 2024-01-30 Data science and data acumen See chapter 2 of the Data Science for Undergraduates consensus report from the National Academies mathematical foundations computational foundations * statistical foundations data management and c...
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Document
STAT231 (Data Science) welcome + first explorations in R and Quarto Author George, Javier Published 2024-01-30 Data science and data acumen See chapter 2 of the Data Science for Undergraduates consensus report from the National Academies mathematical foundations computational foundations * statistical foundations data management and curation...
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