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Ttest

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6. Divide the total number of participants by the number of participants in ... 9. Divide the result of step 4 by step 8. ex) 2 / 0.6 = 3.3 - t value ... – PowerPoint PPT presentation

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Title: Ttest


1
Lecture 14
  • T-test

2
When do we use t-test?
  • To examine differences between two groups
    measured on an interval/ ratio dependents
    variable
  • Independent variable categorical variable
  • Dependent variable numerical variable

3
Example
  • Is there any difference between female and male
    students with regard to their performances in the
    final exam?

4
Female Male
5
I. Calculating t value
  • Formula
  • T

6
Steps
  • Calculate the mean for each group
  • ex) Females mean 8
  • Males mean 6
  • 2. For the first group, subtract the mean from
    each of the scores to get the deviation scores.
    Do the same for the second group.
  • 3. For the first group, square the deviation
    scores and then add them together to get the sum
    of squares. Do the same for the second group.

7
  • ex) Female
  • (SS sum of the squares 6)

8
  • Ex) Male
  • (SS 2)

9
  • 4. Subtract the mean of group 2 form the mean of
    group 1
  • ex) 8 6 2
  • 5. Add together the sum of squares for both
    groups and divide by the number of participants
    minus 2
  • ex) 6 2 / 5 5 2 1
  • 6. Divide the total number of participants by the
    number of participants in group 1 multiplied by
    the number of participants in group 2
  • ex) 5 5 / 5 5 0.4

10
  • 7. Multiply the result of step 5 by the result of
    step 6
  • ex) 1 0.4 0.4
  • 8. Take the square root of 7
  • ex) square root of 0.4 0.6
  • 9. Divide the result of step 4 by step 8
  • ex) 2 / 0.6 3.3 -gt t value

11
II. Determine whether t value is significant
  • Probability level (predetermined by the
    researcher) p lt .05
  • Degrees of freedom (df)
  • number of participants - 2

12
Steps
  • 1. Calculate the degrees of freedom, which equals
    the total number of participants minus 2 for
    independent samples
  • ex) 10 2 8
  • 2. Look up the critical value at the .05
    significant level with the appropriate degrees of
    freedom on the t table
  • ex) critical value 2.306

13
  • 3. If the calculated value meets or exceeds the
    critical value, there is a difference between two
    groups. If the calculated value does not meet the
    critical value, there is no difference between
    two groups.
  • ex) 3.3 gt 2.306
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