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SALT Questions

Some WebAssign statistics questions include a button. Click the button to open SALT in a new tab with the dataset or frequency table defined by the WebAssign question. Use SALT to perform your statistical analyses. Then, enter your answers in the WebAssign question.

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Open SALT

To use SALT, go to statistics.cengage.com .

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SALT Help

Salt is a data analysis tool for introductory level statistics courses that helps students gain improved conceptual understanding of statistics through visualization and analysis of datasets. Salt can be used on its own or with WebAssign to answer SALT-enabled questions.

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Salt

SALT A data analysis tool for introductory level statistics courses that helps students gain improved conceptual understanding of statistics through visualization and analysis of datasets. SALT can be used on its own or as a tool to answer SALT-enabled questions in WebAssign. SALT (Statistical Analysis and Learning Tool) SALT

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SALT Availability

Some statistics questions include a link to use the SALT data analysis tool. If needed, turn off these links or limit SALT functionality only to distribution calculators.

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Cannot See Datasets in SALT

Datasets might not load or transfer properly in SALT questions if browser extensions are enabled. They can disrupt the data transfer in SALT even if it initially appears successful.

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Select a Dataset

Use the Dataset tab to select, preview, and edit the data used for SALT operations. Choose from existing datasets or upload your own Csv data. When opening SALT from a WebAssign question, the dataset for that question is automatically selected.

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Upload Data

Upload a Csv file from your device to the SALT website to perform analyses.

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Download Dataset

Download existing Csv files from the SALT dataset hub site to a local device.

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Frequency and Contingency Tables

Some WebAssign questions display frequency or contingency tables instead of dataset values when you click .

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Edit Variables

To add or remove the dataset variables used for statistical operations, or to use a numerical variable categorically, edit the variables. The filtered data can also be saved to create a new dataset.

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