Engineering Programming Task on EIT moodle

int first, last;
first=1;
last=10;
for (i=first; i&lt;last; i++)
{

Based on Jonathan Wolff’s analysis of the ideas of Plato, Rousseau, and Mill in his (Wolff, 2016) Chapter 3, each thinker addressed some problems with democratic voting, understood as simple majority rule. (i) Explain what these problems are, and (ii) discuss whether you think that Fishkin’s ideas in (Simon, 2002:230-233) can help solve these problems. Continue reading

Report on Warehouse for a pharmaceutical company

Introduction

The aim of this review is to define and provide a systematic overview of quantitative models in the pharmaceutical supply chain, a topic not studied exhaustively in previous healthcare logistics reviews mainly related to quantitative models in healthcare or hospital logistics studies. Continue reading

rm(list = ls())
options(warn = -1)

## Reading the data from excel
Project_2_Data <- read_excel(“Stat 481 Project 2 Data.xls”)
str(Project_2_Data)

## Cleaning and attributing the dtaa
Project_2_Data\$courses = as.factor(Project_2_Data\$courses)
Project_2_Data\$gender = as.factor(Project_2_Data\$gender)
levels(Project_2_Data\$gender) <- c(“Female”, “Male”)
levels(Project_2_Data\$courses) <- c(“Algebra”, “Algebra&Geometry”, “Calculus”)

attach(Project_2_Data)

## Descriptives
library(ggplot2)
library(hrbrthemes)
library(dplyr)
library(tidyr)
library(viridis)
temp = aggregate(score~courses+gender, Project_2_Data, FUN = mean)

qqnorm(score)
ggplot(Project_2_Data, aes(x = score)) + geom_histogram()

summary(Project_2_Data)
p1 <- ggplot(data=Project_2_Data, aes(x=score, fill=courses)) + geom_density(adjust=1.5, alpha=.4) + theme_ipsum()

p2 <- ggplot(data=Project_2_Data, aes(x=score, fill=gender)) + geom_density(adjust=1.5, alpha=.4) + theme_ipsum()
## Model
## Test of normality and other assumptions
ks.test(score, pnorm, mean = mean(score), sd= sd(score))
bartlett.test(score~courses, data = Project_2_Data)
bartlett.test(score~gender, data = Project_2_Data)

## Linear model
model1 = anova(score ~ courses + gender, data = Project_2_Data)
model1
summary(model1)
## Post Hoc
library(DescTools)
PostHocTest(model1, method = “bonferroni”)
PostHocTest(model1, method = “hsd”)

#include <iostream>
#include <string>

using namespace std;

int main()
{

A Report on Warehouse for a Pharmaceutical Company

Introduction

The aim of this review is to define and provide a systematic overview of quantitative models in the pharmaceutical supply chain, a topic not studied exhaustively in previous healthcare logistics reviews mainly related to quantitative models in healthcare or hospital logistics studies. Continue reading

Management Task on Online Learning Self-efficacy and Learning Satisfaction

Introduction

The article &quot; Unpacking online learning understandings: Online learning self-efficacy and learning satisfaction&quot; issued by four authors: Demei Shen, Moon-Heum Cho, Chia-Lin Tsai and Rose Marra was first accepted by Elsevier Inc for Released on April 8, 2013, and made available on April 15, 2013, for on-line access. Continue reading