Category Archives for Statistics

Seven Quality Tools – Scatter Diagram

A Scatter diagram is one of the Seven Basic Quality Tools. It plots two sets of observations against each other; the horizontal axis represents one set of observations (independent variable) while the vertical axis represents the second set of observations (dependent variable). Scatter diagrams allow you to examine relationships between variables visually. Both of these variables […]

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Data Accuracy and Integrity

Data integrity and accuracy are essential to every organization. Many factors affect data quality. This article will examine these factors and discuss their impact on data quality.What is Data Quality?Data quality can be defined as “the extent to which data are consistent with the intended use.”  This definition emphasizes the importance of understanding what you […]

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Measurement Scales – Nominal, Ordinal, Interval and Ratio

There are four types of measurement scales used in statistics: nominal, ordinal, interval and ratio. Each scale has different properties and uses.1. NominalA nominal scale is category labels. The category labels are not ordered, so it doesn’t matter which number comes first.  For example, the following list has three items on a nominal scale: 1. Apple 2. Orange 3. […]

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Distinguish between Statistical and Practical Significance

It’s essential to understand the difference between statistical and practical significance. This distinction is often overlooked by students who are learning statistics. In this blog post, I’m going to explain the difference between these two concepts. What’s the difference between statistical and practical significance? In a nutshell: Although the statistical significance shows that there’s an effect, the practical […]

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How Machine Learning is Changing Quality Management?

Quality management is a process used to improve product quality through continuous improvement. This involves identifying problems and implementing solutions. Machine learning is a subfield of artificial intelligence that focuses on algorithms that teach computers to perform tasks without being explicitly programmed.What are the similarities between these two fields?Both Quality Management and Machine Learning involve an […]

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Types of Sampling

In this post, we will discuss the various types of sampling that are used in practice. We will start with a brief overview of the different types of sampling and then move on to more detailed discussions about each type. There are two types of sampling techniques: probability sampling and non-probability sampling.1. Probability SamplesEveryone in the […]

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Histogram vs. Bar Chart

A histogram is a graphical representation of data. It shows the distribution of values within a set of data. The bars represent the number of observations at each value. Bar charts are similar to histograms but instead of showing the frequency of observations, they show the probability of a discrete observation occurring. Histograms and Bar charts are […]

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Chi-Square Test vs. F Test

What is the difference between Chi-square test and F Test?Purpose:These two statistical procedures are used for different purposes.The chi-square test is used when you want to know whether there is a statistical difference between two categorical variables (e.g., gender and preferred car color).The F test, on the other hand, is used when you want to […]

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Nonparametric Tests

A nonparametric test is any statistical procedure where no assumptions are made regarding the distribution of data. The most common types of nonparametric tests include:Kruskal-Wallis TestMann Whitney U TestWilcoxon Signed Ranks TestFriedman’s TestBefore we talk about the Nonparametric Tests, let’s understand what Parametric Tests are.Parametric Tests:These are hypothesis tests that assume that the data being […]

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