Linear Regression Importance. Read on to understand how to Prepare for a Linear Regression Analysis, its advantages and understanding Basic Concepts in Statistics
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.
Confidence Interval for the population means when the standard deviation is known. Confidence level, usually written as 100%, on the interval estimate of a population parameter is the probability that the interval estimate will contain the true population parameter. When [CP_CALCULATED_FIELDS id=”8″]
A box plot (also known as box and whisker plot) is a type of chart often used in descriptive data analysis to visually show the distribution of numerical data and skewness by displaying the data quartiles (or percentiles) averages. Box plots show the five-number summary of a set of data: the minimum score, first (lower)…
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.
Standardization of variables is the method of placing different variables on an identical scale thereby making it simpler to compare and analyze the data.
If you are from a non-statistical background it is essentially the most complicated aspect of statistics, are always the basic statistical tests, and how to choose statistical test? In this article I have tried to mark out the distinction between the common statistical tests, the use of null value hypothesis in these tests by outlining…
PROC TTEST procedure is used to compare the equality of means for a one sample, two-sample (independent group) or paired t-test.
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.