K-Means Clustering in SAS: an easy step-by-step guide

K-Means Clustering in SAS: an easy step-by-step guide

Cluster analysis is a type of multivariate data mining that groups items (like products, respondents, or other entities) based on characteristics or attributes chosen by the user.
It is the first and most crucial step in data mining. It is a common way to look at statistical data and is used in many different areas, such as data compression, machine learning, pattern recognition, and finding information.

One Way Anova in SAS

One Way Anova in SAS

The ANOVA, or analysis of variance, basically analyses the different estimates by utilising the F-distribution to evaluate if the population means are equal or not.

Box and Whisker Plot : Explained

Box and Whisker Plot : Explained

Box plots show the five-number summary of a set of data: the minimum score, first (lower) quartile, median, third (upper) quartile, and maximum score.

How to summarize categorical data graphically?

How to summarize categorical data graphically?

You can summarize categorical data by first sorting the values according to the categories of the variable. Then, placing the count, amount, or percentage of each category into a summary table or into one of several types of charts.

How to choose a statistical test?

How to choose a statistical test?

If you are from a non-statistical background, it is essentially the most complicated aspect of statistics, are always the basic statistical tests,…

PROC TTEST for comparing means

PROC TTEST for comparing means

PROC TTEST procedure is used to compare the equality of means for a one sample, two-sample (independent group) or paired t-test.

Basics of Hypothesis Testing

Basics of Hypothesis Testing

Hypothesis testing is the statistical process of either retaining a claim or belief made by a person that is usually about population parameters such as mean or proportion and we seek evidence from a sample for the support of the claim.