Exam #2 Flashcards
Name the 8 types of hypothesis tests studied in this unit.
- Difference Between 2 Population Means: σ1 and σ2 Known
- Difference Between 2 Population Means: σ1 and σ2 Unknown
- Difference Between 2 Population Means: Matched Samples
- Difference Between 2 Population Proportions
- Difference Between 3 or More Population Means
- Difference Between 3 or More Population Proportions
- Independence Test
- Goodness of Fit Test
Name the 2 types of multiple comparison procedures studied in this unit.
Marascuilo Procedure
Fisher’s LSD
Which multiple comparison procedure is used to determine which of 3 or more population proportions differ significantly from the others.
Marascuilo Procedure
Which multiple comparison procedure is used to determine which of 3 or more population means differ significantly from the others.
Fisher’s LSD
Which test is used to make inferences about the difference between 2 population means when σ1 and σ2 are known?
Z-Test
T-Test
Chi-Square Test
ANOVA
Z-Test
Which test is used to make inferences about the difference between 2 population means when σ1 and σ2 are unknown?
Z-Test
T-Test
Chi-Square Test
ANOVA
T-Test
Which test is used to make inferences about the difference between 2 population means for matched samples?
Z-Test
T-Test
Chi-Square Test
ANOVA
T-Test
Which test is used to make inferences about the difference between 2 population proportions?
Z-Test
T-Test
Chi-Square Test
ANOVA
Z-Test
Which test is used to make inferences about the difference between 3 or more population proportions?
Z-Test
T-Test
Chi-Square Test
ANOVA
Chi-Square Test
Which test is used to for the test of independence?
Z-Test
T-Test
Chi-Square Test
ANOVA
Chi-Square Test
Which test is used to for the goodness of fit test?
Z-Test
T-Test
Chi-Square Test
ANOVA
Chi-Square Test
Which test is used to make inferences about the difference between 3 or more population means?
Z-Test
T-Test
Chi-Square Test
ANOVA
ANOVA
Samples selected from two populations in such a way that the elements making up one sample are chosen independently of the elements making up the other sample.
Independent Simple Random Samples
Samples in which each data value of one sample is matched with a corresponding data value of the other sample.
Matched Samples
An estimator of a population proportion obtained by computing a weighted average of the point estimators obtained from two independent samples.
Pooled Estimator of P
A probability distribution where each outcome belongs to one of three or more categories.
Multinomial Probability Distribution
A table used to summarize the analysis of variance computations and results. It contains columns showing the source of variation, the sum of squares, the degrees of freedom, the mean square, and the F values.
ANOVA Table
The process of using the same or similar experimental units for all treatments.
Blocking
The probability of a Type I error associated with a single pairwise comparison.
Comparisonwise Type I Error Rate
An experimental design in which the treatments are randomly assigned to the experimental units.
Completely Randomized Design
The objects of interest in the experiment.
Experimental Units
The probability of making a Type I error on at least one of several pairwise comparisons.
Experimentwise Type I Error Rate
Another word for the independent variable of interest.
Factor
An experimental design that allows simultaneous conclusions about two or more factors.
Factorial Experiment
The effect produced when the levels of one factor interact with the levels of another factor in influencing the response variable.
Interaction
Statistical procedures that can be used to conduct statistical comparisons between pairs of population means.
Multiple Comparison Procedures
The process of allocating the total sum of squares and degrees of freedom to the various components.
Partitioning
An experimental design employing blocking.
Randomized Block Design
The number of times each experimental condition is repeated in an experiment.
Replications
Another word for the dependent variable of interest.
Response Variable
An experiment involving only one factor with k populations or treatments.
Single-factor Experiment
Different levels of a factor.
Treatment
