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Independent Samples ttest

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Independent Samples t-test. Review of Tests We've Learned So Far. z-test and ... Two completely separate (independent) samples. Two related (dependent) samples ... – PowerPoint PPT presentation

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Title: Independent Samples ttest


1
Independent Samples t-test
2
Review of Tests Weve Learned So Far
  • z-test and one-sample t-tests
  • Used to compare one sample mean to a population
    mean or some other known value.
  • More common Compare two (or more) sample means
    to each other
  • Two general research strategies
  • Two completely separate (independent) samples
  • Two related (dependent) samples

3
Introducing the Independent Samples t-test
  • Did mental imagery raise scores or are the
    differences due to chance (sampling error)?
  • Or, do the samples come from the same population?

Pop1 µ?
Pop2 µ?
Sample1 Rote Memory M19
Sample2 Imagery M25
4
A Quick Word on Notation
  • Use subscripts to designate to which group
    statistics and parameters belong
  • n1, SS1, S21, M1, µ1
  • n2, SS2, S22, M2, µ2

5
Setting the Statistical Hypothesis for Ind.
Samples
  • For Two-Tailed (Directional) Tests
  • H0
  • H0 µ1 µ2 0
  • Or
  • H0 µ1 µ2
  • H1
  • H1 µ1 µ2 ? 0
  • Or
  • H1 µ1 ? µ2

6
Independent Samples t Ratio
is the standard error of the
mean difference.
where
7
Two Sample t-test Example
  • Research Question Does mental imagery change
    memory scores?
  • State Statistical Hypothesis
  • H0 µ rote µ imagery
  • H1 µ rote ? µ imagery

8
Two Sample t-test Example
  • Group1 Rote Group2 Imagery
  • 24 13 18 31
  • 23 17 19 29
  • 16 20 23 26
  • 17 15 29 21
  • 19 26 30 24
  • Sample Descriptive Statistics
  • Rote Group n110, S2117.78, SS1160,
    M119
  • Imagery Group n210, S2222.22, SS2 200, M225
  • Compute standard error of the mean difference

9
Two Sample t-test Example
  • Set Decision Criteria
  • df(n1-1)(n2-1)(10-1)(10-1)18
  • If a.05 and two-tailed test, from t-table, tcrit
    2.101
  • Reject Ho if tobtainedgt tcrit
  • Compute test statistic (tobtained)
  • Make Decision Reject HO
  • Mental imagery memory scores are significantly
    higher compared to rote scores, t(18)-3.00,
    plt.05.

10
Setting Decision Criteria for a Directional Test
(one-tailed)
  • Mental imagery improves memory scores.
  • H0 µ1gtµ2 or H0 µ1-µ2gt0
  • H1 µ1ltµ2 or H1 µ1-µ2lt0
  • Where µ1Rote Group and µ2Imagery Group
  • In this case, set decision criteria Critical
    region is in the lower tail of the distribution.
  • df(n1-1)(n2-1)(10-1)(10-1)18
  • If a.05 and one-tailed test, from t-table, tcrit
    - 1.734
  • Reject Ho if tobtained falls within the critical
    region.

11
Setting Decision Criteria for a Directional Test
(one-tailed)
  • Mental imagery decreases memory scores.
  • H0 µ1ltµ2 or H0 µ1-µ2lt0
  • H1 µ1gtµ2 or H1 µ1-µ2gt0
  • Where µ1Rote Group and µ2Imagery Group
  • In this case, set decision criteria Critical
    region is in the upper tail of the distribution.
  • df(n1-1)(n2-1)(10-1)(10-1)18
  • If a.05 and one-tailed test, from t-table, tcrit
    1.734
  • Reject Ho if tobtained falls within the critical
    region.

12
Assumptions of the Independent Samples t-test
  • Independent Observations
  • Normality
  • Homogeneity of Variance

13
How big is the effect?
  • We can use Cohens d to estimate effect size
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