Chapter 9: Inferential Statistics: Two-Group Designs

  1. independent-groups t test
    a parametric inferential test for comparing sample means of two independent groups of scores.
  2. standard error of the difference between means
    standard deviation of the sampling distribution of differences between the means of independent samples in a two-sample experiment.
  3. effect size
    the proportion of variance in the dependent variable that is accounted for by the manipulation of the independent variable.
  4. cohen's d
    an inferential statistic for measuring effect size.
  5. correlated-groups t test
    parametric infrential test used to compare the means of two related (within- or matched-subjects) samples.
  6. difference scores
    scores representing the difference between subjects' performance in one condition and their performance in a second condition.
  7. standard error of the difference scores
    the standard deviation of the sampling distributio of mean differences between dependent samples in a two-group experiment.
  8. wilcoxon rank-sum test
    a nonparametric inferential test for comparing sample medians of two independent groups of scores.
  9. wilcoxon matched-pairs signed-ranks T test
    a nonparametric inferentil test for comparing sample medians of two dependent or related groups of scores.
  10. chi-square (x2) test of independence
    nonparametric inferential test used when frequency data have been collected to determine how wellan observed breakdown of people over various categories fits some expected breakdown.
  11. phi coefficient
    an inferential test used to determine effect size for a chi-square test.
  12. a(n) ___ is a parametric inferential test for comparing sample means of two independent group of scores.
    independent-groups t test
  13. ___ is an inferential statistic for measuring effect size with t tests.
    cohen's d or r2
  14. a(n) ___ is a parametric inferential test used to compare the means of two related samples.
    correlated-groups t test
  15. when using a correlated-groups t test, we calculate __, scores representing the difference between subjects' performance in one condition and their performance in one condition and their performance in a second condition.
    difference scores
  16. the standard deviation of the sampling distribution of mean differences between dependent samples in a two-group experiment is the ___.
    standard error of the difference scores
  17. ___ and ___ frequencies are used in the calculation of the x2 statistic.
    observed; expected
  18. the nonparametric inferential statistic for comparing two groups of differentpeople when ordinal data are collected is the ____.
    wilcoxon rank-sum test
  19. when frequency data are collected, we use the ___ to determine how well an observed frequency distribution of two nominal variables fits some expected breakdown.
    x2 test of independence
  20. effect size for a chi-square test is determined by using the ____.
    phi coefficient
  21. the wilcoxon ___ test is used with within-subjects designs.
    matched-pairs signed-ranks T 
  22. the wilcoxon rank-sum test is used with ___ designs.
    between-subjects
  23. chi-square tests use ___ data, whereas wilcoxon tests use ___ data.
    nominal; ordinal
  24. when comparing the sample means for two unrelated groups we use the:
    indepnedent-groups t test
  25. the value of the t test will ___ as sample variance decreases.
    increase
  26. which of the following t test results has the reatest chance of statistical significance?
    t(28) = 3.12
  27. if the null hypothesis is false, then the t test should be:
    greater than 1
  28. imagine that you conducted an independent-groups t test with 10 participants in each group. for a one-tailed test, the tcv at ∝=.05 would be:
    ±1.734
  29. if a researcher reported for an independent-groups test that t(26)= 2.90, < .005, how many subjects were there in the study?
    28
  30. Ha: µ1≠µ2 is the __ hypothesis for a __-tailed test.
    alternative; two
  31. cohen's d is a measure of ___ for a ___.
    effect size; t test
  32. tcv = 2.15 and tobt = -2.20. Based on these results we:
    reject H0
  33. If a correlated-groups t test and an independent-groupstest both have df = 10, which experiment used fewer subjects?
    the correlated-groups t test
  34. if researchers reported that, for a correlated-groups design, t(15) = 2.57, p < .05, you can conclude that:
    a total of 16 people participated in the study.
  35. parametric is to nonparametric as ___ is to ___.
    t test; x2 test
  36. which of the following is an assumption of x2 tests?
    the sample should be randomly selected
  37. the calculation of the df for the ___ s (r-1) (c-1)
    x2test of independence
  38. the __ is a measure of effect size for the ____.
    phi coefficient; x2 test of independence
  39. the wilcoxon rank-sum test is used with __ data.
    ordinal
  40. wilcoxon rank-sum test is to __ desighn as wilcoxon matched-pairs signed-ranks t test is to __ design.
    between-subjects; within-subjects
Author
catorresdiaz
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Chapter 9: Inferential Statistics: Two-Group Designs
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Chapter 9: Inferential Statistics: Two-Group Designs
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