Statistical Analysis with R

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

Statistical Analysis with R - The Basics

What is/are the difference/s between Parametric and Non-Parametric test?

0 points

Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn. This is often the assumption that the population data are normally distributed. Non-parametric tests are “distribution-free” and, as such, can be used for non-Normal variables.

The two terms are used interchangable in this context

Parametric test is used whem paramedic data are included in the sample

Parametric test is used when an investiated includes more tests than original intended, while non-parametric test is used when all analysis are planned perior to the data collection process

Clear selection

A computer script is a list of commands that are executed by a certain program or scripting engine. Scripts may be used to automate processes in the analysis process.

1 point

FALSE

TRUE

Clear selection

What's the purpose of adding ##comments in your scripts file? *

1 point

They make the source code easier for humans to understand, and are generally ignored by compilers and interpreters.

They allow us to track down the original designer of the code

They can allow for addtional functionaliity to the code which is otherwise hidden

They allow for code to look pretty and add additional font color to the final output

Which command accurate output the entire content in the second column of the "iris" dataset?

1 point

iris(,2)

Iris.2

Select Col2 FROM Iris

iris[,2]

Clear selection

Which command accurate output the entire content in the third row of the "iris" dataset?

1 point

Iris(3,)

iris..3

Select Row3 FROM iris

iris[3,]

Clear selection

Which command accurate output the averages from the input?

1 point

middle(iris$Sepal.Length)

median(iris$Sepal.Length)

mode(iris$Sepal.Length)

mean(iris$Sepal.Length)

Clear selection

A linear model can be repented by the equation Y=mx+c, where m represent the gradient and c represent the intercept. The image attached represents the summary output from a linear model in R, what is the value of m and c respectively? *

1 point

m=1.85843; c= -7.10144

m=0.8678; c= 148

m=1.85843 c= 0.08586

m=0.76 c= 0.7583

What is being compared in this code attached? *

1 point

Can data1/data2 be representable of the Petal length from the setosa/virginica flower?

Nothing is being compared

The differences between the petal shape between the two species of flowers (setosa, virginica)

Is the Petal.Length of two species of flowers (setosa, virginica) significantlly different from each other using a Welch T-test

Correct this code: > cor(iris#Sepal.Length~ iris#Petal.Length; method = pearson) *

1 point

cor(iris#Sepal.Length, iris#Petal.Length; method = pearson)

cor(iris$Sepal.Length~ iris$Petal.Length; method = pearson)

cor(iris$Sepal.Length, iris$Petal.Length, method = “pearson”)

cor(iris#Sepal.Length~ iris#Petal.Length; method = "pearson")

Which command accurate perform a PCA analysis on the flower characteristic only of the iris dataset

1 point

PCA(iris)

PCA(data="iris", analysis="PCA" )

PCA(data=iris[,1:4] , method"complete")

PCA(iris[,1:4])

Clear selection

Overall, how do you feel about this Workshop?

5 points

Strongly Disagree

Disagree

Neutral

Agree

Strongly Agree

The topics covered were relevant to me

The content was organised and easy to follow

The material distributed was helpful

The training delivery meet my expectations

I would recommend this training to a friend or colleague

Clear selection

Submit

Clear form

This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy

Forms