# Statistics

The flashcards below were created by user Mental86 on FreezingBlue Flashcards.

1. Each level of each independent variable has different subjects.
Between-Subjects or Independent Group Design
2. Each subject participates in all levels of all independent
variables.
• Within-Subjects or Repeated Measures
• Group Design
3. There must be at least two independent variables.

Each subject participates in all levels of one
independent variable but not the other.
Mixed Group Design
4. when the subjects try to figure out the experiment and then alter their
behavior to either "help" the scientist or even hinder the scientist
Demand Characteristics
5. Standard Error of the Mean
6. Standard Error of a Sample
7. when you reject the null hypothesis when shouldn't have because the null
hypothesis is actually true - there is not difference between your groups.
Type I error
8. when you fail to reject the null hypothesis when you should have because there really is a
Type II Error
9. If the scientific hypothesis predicts a
direction of the results, we say it is a
One-Tailed Hypothesis
10. If the scientific hypothesis does not
predict a direction of the results, we say it is a
Two-Tailed Hypothesis
11. an analysis of an experimental design with one independent variable and a nominal
dependent variable
One-Way Chi-Square
12. Chi-Square
13. df = k -1
Degrees of freedom for a Chi-Square
14. fe of a Two-Way Chi-Square
15. when you have two independent variables and a nominal dependent variable
Two-Way Chi-Square
16. df = (number of rows -1) x (number of columns -1)
Degrees of Freedom for a Two-Way Chi-Square
is above 1000 (Comparing Sample to a Population
Single Sample z-test
18. Single Sample z-test formula
is below 1000 (Comparing Sample to Population)
Single Sample t-test
20. Single Sample t-test formula
21. If your two sample groups are independent of each other
t-test for Independent Groups
22. t-test for Independent Groups formula
23. Standard Error of the Difference for Independent Groups
24. (n1 - 1) + (n2 - 1)
df independent groups
25. If the two samples are not independent of each other but
instead are positively correlated to each other
t-test for Correlated Groups
26. • the standard
• error of the difference
• (correllated groups)
27. number of pairs - 1
df correlated groups
28. t-test for correlated samples: using raw data
29. D bar
• The mean of all the
• difference scores. Difference scores are calculated by subtracting each Y value
• from its X pair value
30. Standard Difference for Correlated Groups using the raw data
31. F = MSbg / MSwg
F ratio formula One-Way ANOVA
32. MSbg = SSbg / dfbg
MSbg formula One-Way ANOVA
33. MSwg = SSwg / dfwg
MSwg formula One-Way ANOVA
34. dfbg = k - 1
dfbg formula One-Way ANOVA
35. dfwg =
(n1 - 1) + (n2 - 1) + . . . + (nk - 1)
dfwg formula One-Way ANOVA
36. SSbg = [ (ΣX1)2 / n1 ) + (ΣX2)2 / n2 ) + . . . + (ΣXk)2 / nk ) ] - [ (ΣX1 + ΣX2 + . . . + ΣXk )2 / Ntotal ]
SSbg formula One-Way ANOVA
37. SSwg = [ (ΣX21 + ΣX22 + . . . + ΣX2k ) ] - [ (ΣX1)2 / n1 ) + (ΣX2)2 / n2 ) + . . . + (ΣXk)2 / nk ) ]
SSwg formula One-Way ANOVA
38. dfN
dfbg
39. dfD
dfwg
40. Nominal Dependent Variable Data
Chi-Square (X2)
41. Ordinal Dependent Variable Data
An ordinal statistic
42. Interval/Ratio Dependent Variable
2+ Factors (Independent Variables)
Two-Way ANOVA
43. Interval/Ratio Dependent Variable
1 Factor (Independent Variables)
2 Levels (i.e. control and experiment)
T-Test
44. Interval/Ratio Dependent Variable
1 Factor (Independent Variables)
3+ Levels (i.e. control, experiment1, experiment2)
One-Way ANOVA
 Author: Mental86 ID: 2812 Card Set: Statistics Updated: 2009-12-11T10:08:56Z Folders: Description: statistics final Show Answers: