SOCR EduMaterials AnalysisActivities TwoIndepT

From Socr

(Difference between revisions)
Jump to: navigation, search
(Two Independent Sample T-Test Example)
(Two Independent Sample T-Test Example)
Line 2: Line 2:
Given two groups of data, not necessarily with same sample size, we'd like to test the null hpothesis that the two groups have equal mean. This is a parametric test.
Given two groups of data, not necessarily with same sample size, we'd like to test the null hpothesis that the two groups have equal mean. This is a parametric test.
-
==Two Independent Sample T-Test Example==
+
==Two Independent Sample T-Test Example (Poored Sample Variance) ==
We will demonstrate Two Independent T-Test with a SOCR built-in example.
We will demonstrate Two Independent T-Test with a SOCR built-in example.
This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (Page 390)  
This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (Page 390)  
Line 8: Line 8:
Here's the steps of the activity:
Here's the steps of the activity:
-
'''1.''' Click on '''Two Independent Sample T-Test''' at the left panel's combo box.
+
'''1.''' Click on '''Two Independent Sample T-Test (Poored)''' at the left panel's combo box.
<center>[[Image:SOCR_AnalysisActivities_TwoIndepT_Chu_051707_Fig1.gif|700px]]</center>
<center>[[Image:SOCR_AnalysisActivities_TwoIndepT_Chu_051707_Fig1.gif|700px]]</center>

Revision as of 07:29, 25 August 2007

Two Independent Sample T-Test Background

Given two groups of data, not necessarily with same sample size, we'd like to test the null hpothesis that the two groups have equal mean. This is a parametric test.

Two Independent Sample T-Test Example (Poored Sample Variance)

We will demonstrate Two Independent T-Test with a SOCR built-in example. This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (Page 390)

Here's the steps of the activity:

1. Click on Two Independent Sample T-Test (Poored) at the left panel's combo box.



On the right panel, first click on EXAMPLE 1 and next click on "Data" to retreive the demonstrated example. This is the example we'll be looking at.


2. Click on the "Mapping" button to get to the "Mapping" panel. Click on "ADD" under VARIABLE 1 and to add A, and click on ADD under VARIABLE 2 to add B. This will add the variables for Two Independent Sample T-Test. We care about the difference, so which on goes to VARIABLE 1 or VARIALBE 2 is arbitrary. Here, the computer will set difference = Variable 2 - Variable 1. If you like the substraction to go the other way around, simple assign VARIABLE 1 and VARIABLE 2 in the opposite way.



3. Click on "Calculate" then click on "Result" to see the results.



Questions for students: By looking at the test results, what do you think about the data? What can you say about the two different shoe materials?





Translate this page:

(default)

Deutsch

Español

Français

Italiano

Português

日本語

България

الامارات العربية المتحدة

Suomi

इस भाषा में

Norge

한국어

中文

繁体中文

Русский

Nederlands

Ελληνικά

Hrvatska

Česká republika

Danmark

Polska

România

Sverige

Personal tools