Posts Tagged ‘SigmaXL’
Mann Whitney Test with SigmaXL
What is the Mann Whitney Test with SigmaXL? The Mann Whitney test with SigmaXL is a statistical test (also called Mann–Whitney U test or Wilcoxon rank-sum test) is a statistical hypothesis test to compare the medians of two populations that are not normally distributed. In a non-normal distribution, the median is the better representation of…
Read MoreOne Way ANOVA with SigmaXL
What is a One Way ANOVA with SigmaXL? One way ANOVA with SigmaXL is a statistical method used to compare means of two or more populations. It is a generalized form of the two sample t-test since a two sample t-test compares two population means and one way ANOVA compares k population means where k…
Read MorePaired t Test with SigmaXL
What is a Paired t Test with SigmaXL The third type of a Two Sample t-Test is the Paired t Test with SigmaXL. This test is used when the two populations are dependent of each other, so each data point from one distribution corresponds to a data point in the other distribution. When using a…
Read MoreTwo Sample t Test with SigmaXL
What is a Two Sample t Test with SimgaXL Two sample t test is a hypothesis test to study whether there is a statistically significant difference between the means of two populations. Null Hypothesis (H0): μ1 = μ2 Alternative Hypothesis (Ha): μ1 ≠ μ2 Where: μ1 is the mean of one population and μ2 is…
Read MoreOne Sample t Test with SigmaXL
What is a One Sample t Test with SigmaXL? A One sample t test with SigmaXL is a hypothesis test to study whether there is a statistically significant difference between a population mean and a specified value. Null Hypothesis (H0): μ = μ0 Alternative Hypothesis (Ha): μ ≠ μ0 Where: μ is the mean of…
Read MoreCentral Limit Theorem with SigmaXL
Understanding the Central Limit Theorem with SigmaXL The Central Limit Theorem with SigmaXL is one of the fundamental theorems of probability theory. It states a condition under which the mean of a large number of independent and identically-distributed random variables, each of which has a finite mean and variance, would be approximately normally distributed. Let…
Read MoreMulti Vari Analysis with SigmaXL
Learning Multi-Vari Analysis with SigmaXL Multi Vari Analysis with SigmaXL is a graphic-driven method to analyze the effects of categorical inputs on a continuous output. It studies how the variation in the output changes across different inputs and helps us quantitatively determine the major source of variability in the output. Multi Vari charts are used…
Read MoreCapability Analysis with SigmaXL
Understanding Process Capability with SigmaXL Process capability with SigmaXL measures how well the process performs to meet given specified outcome. It indicates the conformance of a process to meet given requirements or specifications. Capability analysis helps to better understand the performance of the process with respect to meeting customer’s specifications and identify the process improvement…
Read MoreBox Plot with SigmaXL
What is a Box Plot with SigmaXL? In statistics, graphical analysis is a method to visualize quantitative data. Graphical analysis is used to discover structure and patterns in the data. The presence of which may explain or suggest reasons for additional analysis or consideration. A complete statistical analysis includes both quantitative analysis and graphical analysis.…
Read MorePareto Analysis with SigmaXL
The Pareto Principle and Pareto Analysis with SigmaXL The Pareto principle is an observation not a law. Named after Italian economist Vilfredo Pareto, this principle states that for a variety of situations, 80% of consequences come from 20% of the causes, thus the Pareto principle is also known as the 80/20 rule. The 80/20 rule…
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