Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by ...

For example, in marketing, numbers can show sales patterns, but listening to customer opinions and reasons can tell you what they feel and why they buy, according to Tasker. Using both types of ...

Beyond simple descriptive statistics, Advanced Data Analysis is capable of running statistical tests. For example, in our Charter survey about workers’ views toward AI, we have data on whether ...

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

Example 23.3: Cluster Analysis of Fisher Iris Data The iris data published by Fisher (1936) have been widely used for examples in discriminant analysis and cluster analysis. The sepal length, sepal ...

B is the new data. An important aspect of this type of analysis is that the posterior distribution is heavily influenced by the number of participants in our current study. If we imagined that our ...

Microarray analysis can be performed to assess differences in gene expression between two different samples. After isolating nucleic acids from the two samples, one sample is labeled with a dye ...