Contingency Table in R

A contingency table is one of the most widely used tools in statistics for analyzing the relationship between categorical variables. Whether you’re working in healthcare, finance, marketing, manufacturing, or social sciences, contingency tables help...

Discriminant Analysis in R

Discrimination tests are more important in sensory analysis. The main idea behind sensory discrimination analysis is to identify any significant difference or not. 

Here are the details of different types of discrimination methods and p-value calculations based on different protocols/methods. 

This article will discuss different types of methods and discriminant analysis in r.

Places to visit in and around Thrissur

If you want to enjoy all the glories of the cultural beauty of the state of Kerala, Thrissur is one of the important places to include in your travel list. Thrissur district is blessed...

Why we need a null hypothesis test?

Why we need a null hypothesis test?. Hypothesis testing is an important stage in statistics. The test evaluates two mutually exclusive statements about a population to determine which statement is better supported by the...

Places to visit in Ernakulam District

Places to visit near Ernakulam district, Are you planning to visit Kerala?

Each of the many places you visit is of historical and colonial significance.

If you are planning to visit places in Kerala, good planning is essential and this information will help you a lot.

Let’s take a look at the best places to visit in the Ernakulam district.

Proportion test in R

A proportion test is a statistical method used to compare proportions or percentages between one or more groups. It helps determine whether observed differences in proportions are statistically significant or simply due to random...

One Sample Analysis in R

One sample analysis in R-In statistics, we can define the corresponding null hypothesis  (H0) as follow: Hypothesis: 1.      H0:m=μ,  2.      H0:m≤μ 3.      H0:m≥μ The corresponding alternative hypotheses (Ha) are as follow: 1.      Ha:m≠μ (different) 2.      Ha:m>μ (greater) 3.      Ha:m<μ (less) Outlier Detection: Out.fun<-function{abs(x-mean(x,na.rm=TRUE))>3*sd(x,na.rm=TRUE)} ddply(data,.(sample, variable),transform,outlier.team=out.fun(value)) column heading...

Best sip plans in India-SIP Vs Lumpsum

Best sip plans in India, Systematic investment plan, and lump sum plan are the two best ways to invest in India. SIP Investment India SIP is an investment option that everyone puts forward. SIP...