summary_statistics_A <- function(matrix){
vec = sort(as.vector(matrix))
len = length(vec)

if(isSymmetric(matrix) && is.numeric(matrix)){
min = vec

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”)

R Programming Task using the Data Analytics Approach

str(creditDF)

# Q1)
# Exploratory Data Analysis Continue reading

A Task on Statistical Discussion Topic

Post a total of 3 substantive responses over 2 separate days for full participation. This includes your
initial post and 2 replies to other students.

Respond to the following in a minimum of 175 words: Continue reading

Statistics – Supply and Demand Task

Solution for Statistics – Supply and Demand Task

(a) β̂1 = −0.75317
Confidence interval is: ( −0.8050502, −0.7012837 )
(b) For a variable to be valid instrument for log_p , it should be correlated with log_p but
uncorrelated with error term (UI
)

Supply And Logistics

Selected supply and Logistics company: Muscat International shipping and Logistics

Comprehensive History of systems

Muscat international shipping and Logistics has a great track record for the logistics services in the company. The company has over fifteen years of experience in logistics services. The system which is applied in Muscat international is related to the smooth and pre-post shipment of the freight (Ho, Zheng, Yildiz, & Talluri, 2015).The system which Muscat international shipping and logistics apply for controlling the mode of transportation uses the Cargo wise system for most of the entries. This systemis adopted conventionally from three to four years and it has benefit to provide a solution to the company. Continue reading

Statistics: How is it evolving with the introduction of new analytical and statistical tools?

Use of Statistics has been on the rise. Today, every company is using statistical and analytical tools to analyze data in a matter of few minutes. Earlier, people used to gather data through various sources and to analyze this data it used to take weeks and months together. Continue reading

Statistics: How is it evolving with the introduction of new analytical and statistical tools?

Use of Statistics has been on the rise. Today, every company is using statistical and analytical tools to analyze data in a matter of few minutes. Earlier, people used to gather data through various sources and to analyze this data it used to take weeks and months together. Continue reading

How artificial intelligence is changing the way we analyze data!

Artificial intelligence is taking the world by storm. This has made has a strong mark in the technology and manufacturing industries. This is also helping organizations to analyze the data. Today, technology has gone to the extent where a computer is able to talk to humans, recognize their faces and even is turning off the lights and refrigerators in our homes. Continue reading

5 Regression Techniques That Every Graduation Student Should Know

A student of statistical modeling needs to know and understand Regression analysis. This is used to find out the relationships which are there between variables. There are different kinds of techniques which can be used for analyzing and modeling several variables and this is also when the relationship needs to be focused on the independent variables and the dependent variables. Continue reading

Usage Of Statistical Software Tools (SPSS, SAS, Minitab etc)

Plenty of statistical analysis software like Minitab, SAS, and SPSS are available for statistical analysis. You should check the below-mentioned points to judge the accessibility of statistical software- Continue reading

Essentials For A Comprehensive Regression Analysis Assignment

What is Regression Analysis?

Regression Analysis is a statistical approach to predict the change in a dependent variable like revenue, sales etc. due to change in one or more than one variables like income, population etc. Regression assists financial and investment managers to evaluate the assets and know the relation between variables like commodity prices and business stocks dealing in such commodities. Continue reading