We utilize statistical _ to look for features that reveal some useful or interesting characteristics of the data set.

Quesiton : We utilize statistical _ to look for features that reveal some useful or interesting characteristics of the data set.

Answer: scatterplot

We utilize statistical _ to look for features that reveal some useful or interesting characteristics of the data set. We utilize statistical _ to look for features that reveal some useful or interesting characteristics of the data set. scatterplot A _ is a plot of paired data (x y) and is helpful in determining whether there is a relationship between the two variables. We utilize statistical _ to look for features that reveal some useful or interesting characteristics of the data set. graphs A _ is a plot of paired data (x y) and is helpful in determining whether there is a relationship between the two variables. Statistical graphs are used to look at the features identify the useful or interesting characteristics or tends of the data . For example a line graph can be used to look at the changes in price of Bitcoin with time. So the answer to your question is graph. Unlike query functions—such as identify or selection which provide information about individual features—statistical analysis reveals the characteristics of a set of features as a whole. Some of the statistical analysis techniques described in this document are most well-suited for interactive applications such as ArcMap that allow you to select and … For example using the hsb2 data file we will look at writing scores (write) as the dependent variable and gender (female) and socio-economic status (ses) as independent variables and we will include an interaction of female by ses. Note that in SPSS you do not need to have the interaction term(s) in your data set . Histograms What is a histogram? A histogram is a plot that lets you discover and show the underlying frequency distribution (shape) of a set of continuous data. This allows the inspection of the data for its underlying distribution … Measures of Spread Introduction. A measure of spread sometimes also called a measure of dispersion is used to describe the variability in a sample or population. ... We will be looking at the range quartiles variance absolute deviation and standard deviation. ... Quartiles tell us about the spread of a data set by breaking the data set ... When a p-value is associated with a set of data it is a measure of the probability that the data could have arisen as a random sample from some population described by the statistical (testing) model. Data analysis and data mining tools use quantitative analysis cluster analysis pattern recognition correlation discovery and associations to analyze data with little or no IT intervention. The resulting information is then presented to the user in an understandable form processes collectively known as BI. The data can be in the form of continuous variable data or attribute data . The data can also be collected and recorded as individual values or an average of a group of readings. Some general guidelines and examples are listed below.