Tests for Interval and Ratio Data Flashcards
The ____________________ and the ____________________ are the most commonly used inferential statistical tests for variables measured on an interval or ratio scale.
- Student’s T-test
- ANOVA
The _____________________ is used to evaluate hypotheses about the differences between two means.
Student’s T-test.
The ANOVA is preferred when more than two means are to be compared, in order to reduce the _________________________.
Experimentwise error rate.
The ______________________ is used when a study includes only one group and the group (sample) mean will be compared to a known population mean.
- Use:
- One IV: Single group
- One DV: Interval or ratio data
- Statistic: t
- df: (N - 1), where N = number of subjects.
Student’s t-Test for a Single Sample.
The ___________________________ is the appropriate statistical test when a study includes two independent groups and the means of the two groups will be compared.
- Use:
- One IV: 2 independent groups
- One DV: Interval or ratio data
- Statistic: t
- df: (N - 2), where N = total number of subjects
Student’s t-Test for Independent Samples.
The _______________________________ is used when the two means to be compared have come from correlated groups (e.g., a within-subjects design in which a single group of subjects will be compared to itself before and after the IV has been applied). Also appropriate when subjects have been matched on an extraneous variable and members of each matched pair have been assigned to a different group.
- Use:
- One IV: 2 correlated groups
- One DV: Interval or ratio data
- Statistic: t
- df: (N - 1), where N = number of pairs of scores
Student’s t-Test for Correlated Samples.
The _________________ is used when a study includes one IV and 2+ independent groups, and one DV that is measured on an interval or ratio scale.
- Use:
- One IV: 2+ independent groups
- One DV: Interval or ratio data
- Statistic: F
- df: (C - 1)(N - C), where C = number of levels of the IV and N = number of subjects
ANOVA.
As opposed to the t-test, the ANOVA enables a researcher to evaluate the relative contributions of different factors to the total amount of variability observed in a set of scores. This is done by “partitioning the ________________.”
Sum of Squares.
The one-way ANOVA divides the ___________ sum of squares (SST) into a ______________ sum of squares (SSB) and a _________________ sum of squares (SSW).
- Total
- Between-groups
- Within-group
SST = SSB + SSW
In an ANOVA, the sums of squares are converted to mean squares (variances) by dividing each sum of squares by the appropriate degrees of freedom (for the ANOVA, the df are used not only to identify the _________________, but to calculate the ___________).
- Critical value
- F-ratio
- Mean Square Total =
- Mean Square Between =
- Mean Square Within =
- MST = SST/df
- MSB = SSB/df
- MSW = SSW/df
______________ is a pooled measure of variability within each of the treatment groups, and is an estimate of variability due only to error; ____________ is a measure of variability between treatment groups, estimating the variability due to both error and the effects of the IV.
- MSW
- MSB
The F-ratio is calculated by dividing __________ by ___________.
F = MSB/MSW = (treatment + error)/error.
In an ANOVA, when H0 is true, MSB and MSW are _______________ and F = ___.
- The same
- 1
When the H0 is false, MSB is ___________ than MSW and F is ___ 1.
- Greater
- >