HAS-Motion Software Documentation

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
======Summary Statistics Dialog======

Summary statistics can be used to summarize data sets and relationships between data in a simple way. Within Sift there are curretnly three differeten statistical tests:

  - One Sample T Test
  - Two Sample T Test
  - Paired T Test

The Summary Statistics dialog is found on the toolbar and under the Analysis menu.

{{:summarystatsloc.png}}


=====Summary Statistics Dialog=====

The summary statistics dialog is split into two sections: the test information, and the results. 

Depending on the test you select the test information and results displayed might be different.

====One Sample T Test =====

{{ :onesamplettest.png?500}}

===Test Information===

To run a one sample t test you will need to input the following:

  * **Test Name**
  * ** Statistical Test**: One Sample T Test
  * ** Significance Level**: Options of 0.1, 0.05, 0.025,0.01,0.005,0.001
  * **Data Selection**
    * **Group**: One Metric must be selected
    * **Workspaces**: Select all workspaces you want included in your test
    * **Use Excluded Data**: If checked, any excluded data will be included in your test
    * **Use All Workspaces**: If checked, all workspaces will be used in your test
    * **Population Mean**: Mean of the population you are comparing against

===Result Information===

Once the test has run the results information will be displayed:

  * **Result Name**: Drop down to ensure you are looking at the right test
  * **Test Information**
    * **Statistical Test**: What test was performed
    * **Significance Level**: What significance level was used to run the test
    * ** Population Mean**: What Population Mean was used
    * **Group1**: Name of group used in test. If expanded the selected workspaces will be shown
  * **Group Results**
    * For the group the following results will be shown
      * **Mean**
      * **Standard Deviation**
      * **Standard Error**
      * **N**
  * **Test Results**
    * **Degrees of Freedom**
    * **T Stat**
    * **Null Hypothesis** : Either will say Do Not Reject Null Hypothesis, or Reject Null Hypothesis

----

====Two Sample T Test =====

{{ :twosamplettest.png?500}}

===Test Information===

To run a two sample t test you will need to input the following:

  * **Test Name**
  * ** Statistical Test**: Two Sample T Test
  * ** Significance Level**: Options of 0.2,0.1, 0.05,0.01,0.002
  * **Data Selection**
    * **Group**: Two Metrics must be selected
    * **Workspaces**: Select all workspaces you want included in your test
    * **Use Excluded Data**: If checked, any excluded data will be included in your test
    * **Use All Workspaces**: If checked, all workspaces will be used in your test

===Result Information===

Once the test has run the results information will be displayed:

  * **Result Name**: Drop down to ensure you are looking at the right test
  * **Test Information**
    * **Statistical Test**: What test was performed
    * **Significance Level**: What significance level was used to run the test
    * **Group1**: Name of group one used in test. If expanded the selected workspaces will be shown
    * **Group2**: Name of group two used in test. If expanded the selected workspaces will be shown
  * **Group Results**
    * For each group and overall the following results will be shown
      * **Mean**
      * **Standard Deviation**
      * **Standard Error**
      * **N**
  * **Test Results**
    * **Degrees of Freedom**
    * ** Pooled Standard Deviation**
    * **T Stat**
    * **Null Hypothesis** : Either will say Do Not Reject Null Hypothesis, or Reject Null Hypothesis

----

====Paired T Test =====

{{ :pairedttest.png?500}}

===Test Information===

To run a Paired t test you will need to input the following:

  * **Test Name**
  * ** Statistical Test**: Paired T Test
  * ** Significance Level**: Options of 0.2,0.1, 0.05,0.01,0.002
  * **Data Selection**
    * **Group**: Two Metrics must be selected
    * **Workspaces**: Select all workspaces you want included in your test
    * **Use Excluded Data**: If checked, any excluded data will be included in your test
    * **Use All Workspaces**: If checked, all workspaces will be used in your test
===Result Information===

Once the test has run the results information will be displayed:

  * **Result Name**: Drop down to ensure you are looking at the right test
  * **Test Information**
    * **Statistical Test**: What test was performed
    * **Significance Level**: What significance level was used to run the test
    * **Group1**: Name of group one used in test. If expanded the selected workspaces will be shown
    * **Group2**: Name of group two used in test. If expanded the selected workspaces will be shown
  * **Group Results**
    * For each group and overall the following results will be shown
      * **Mean**
      * **Standard Deviation**
      * **Standard Error**
      * **N**
  * **Test Results**
    * **Degrees of Freedom**
    * **Mean of Differences**
    * **Standard Deviation of Differences**
    * **Standard Error of Differences**
    * **T Stat**
    * **Null Hypothesis** : Either will say Do Not Reject Null Hypothesis, or Reject Null Hypothesis