An outlier is an unusually large or small observation. Outliers can have a disproportionate effect on statistical results, such as the mean, which can result in misleading interpretations. For …

The engineer performs an outlier test to determine whether the smallest value is an outlier. Open the sample data, HandleStrength.MWX . Choose Stat > Basic Statistics > Outlier Test .

Complete the following steps to interpret an outlier test. Key output includes the p-value, the outlier, and the outlier plot.

An outlier plot is similar to an individual plot. Use the outlier plot to visually identify an outlier in the data. If an outlier exists, Minitab represents it on the plot as a red square. Try to identify the …

Use Outlier Test to identify a single outlier in a sample. For example, a quality engineer performs an outlier test to determine whether a value in the sample that seems unusually small is an …

It is important to identify outliers because they can significantly affect your model, providing potentially misleading or incorrect results. If you identify an outlier in your data, you should …

Dixon's test determines whether the most extreme value in a sample is an outlier. Dixon's test includes a choice of test statistics that overcome the potential masking effects of other …

Outlier Display the value of the outlier and the row in the worksheet where the outlier is.

Minitab performs an outlier test for each group. In this worksheet, Cost is the variable and contains the repair costs for products A and B. Product is the group variable and indicates …

Data considerations for Outlier Test Learn more about Minitab To ensure that your results are valid, consider the following guidelines when you collect data, perform the analysis, and …