## 1 3 3 14 histogram

### 1.3.3.14. Histogram

1. Exploratory Data Analysis 1.3. EDA Techniques 1.3.3. Graphical Techniques:Alphabetic 1.3.3.14. Histogram Purpose:Summarize a Univariate Data Set The purpose of a histogram (Chambers) is to graphically summarize the distribution of a univariate data set. The histogram graphically shows the following:1. center (i.e., the location) of the data;

### 1.3.3.14.1. Histogram Interpretation:Normal

Mar 03, 2014 · 1.3.3.14. Histogram. 1.3.3.14.1. Histogram Interpretation:Normal:Symmetric, Moderate-Tailed Histogram Note the classical bell-shaped, symmetric histogram with most of the frequency counts bunched in the middle and with the counts dying off out in the tails. From a physical science/engineering point of view, the normal distribution is that 1.3.3.14.3. Histogram Interpretation:Symmetric, Non Histogram. 1.3.3.14.3. Histogram Interpretation:Symmetric, Non-Normal, Long-Tailed. Symmetric, Long-Tailed Histogram. Description of Long-Tailed. The above is a histogram of the DZIUBA1.DAT data set. The previous example contains a discussion of the distinction between short-tailed, moderate-tailed, and long-taileddistributions.

### 1.3.3.14.7. Histogram Interpretation:Skewed (Non

Mar 03, 2014 · 1.3.3.14. Histogram. 1.3.3.14.7. Histogram Interpretation:Skewed (Non-Symmetric) Left:Skewed Left Histogram The issues for skewed left data are similar to those for skewed right data. 1.3.3.14.8. Histogram Interpretation:Symmetric with OutlierMar 03, 2014 · 1.3.3.14.8. Histogram Interpretation:Symmetric with Outlier:Symmetric Histogram with Outlier Discussion of Outliers A symmetric distribution is one in which the 2 "halves" of the histogram appear as mirror-images of one another. The above example is symmetric with the exception of outlying data near Y = 4.5.

### 1.3.3.14. Histogram

Mar 03, 2014 · 1.3.3. Graphical Techniques:Alphabetic. 1.3.3.14. Histogram:Purpose:Summarize a Univariate Data Set The purpose of a histogram is to graphically summarize the distribution of a univariate data set. The histogram graphically shows the following:center (i.e., the location) of the data;

• Normal Probability Plot · 1.3.3. Graphical Techniques · EDA Techniques 1.3.3.14.7. Histogram Interpretation:Skewed (Non Mar 03, 2014 · 1.3.3.14. Histogram. 1.3.3.14.7. Histogram Interpretation:Skewed (Non-Symmetric) Left:Skewed Left Histogram The above is a histogram of the MORALES.DAT data set. The issues for skewed left data are similar to those for skewed right data.

### Symmetric, Non-Normal, Short-Tailed · Skewed · 1.3.5.14. Anderson-Darling Test 1.3.3.14.1. Histogram Interpretation:Normal

Histogram. 1.3.3.14.1. Histogram Interpretation:Normal. Symmetric, Moderate-. Tailed Histogram. The above is a histogram of the ZARR13.DAT data set. Note the classical bell-shaped, symmetric histogram with most of the frequency counts bunched in the middle and with the counts dying off out in the tails.

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