Exam 18: Some Other Important Statistical Procedures You Should Know About
Exam 1: Statistics or Sadistics Its up to You50 Questions
Exam 2: Means to an End: Computing and Understanding Averages79 Questions
Exam 3: Vive La Différence: Understanding Variability80 Questions
Exam 4: A Picture Really Is Worth a Thousand Words41 Questions
Exam 5: Ice Cream and Crime: Computing Correlation Coefficients77 Questions
Exam 6: Just the Truth: An Introduction to Understanding Reliability and Validity77 Questions
Exam 7: Hypotheticals and You: Testing Your Questions73 Questions
Exam 8: Are Your Curves Normal Probability and Why It Counts76 Questions
Exam 9: Significantly Significant: What It Means for You and Me78 Questions
Exam 10: Only the Lonely: The One Sample Z-Test79 Questions
Exam 11: Tea for Two: Tests Between the Means of Different Groups69 Questions
Exam 12: Tea for Two Again: Tests Between the Means of Related Groups81 Questions
Exam 13: Two Groups Too Many Try Analysis of Variance77 Questions
Exam 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction77 Questions
Exam 15: Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient75 Questions
Exam 16: Predicting Wholl Win the Super Bowl: Using Linear Regression79 Questions
Exam 17: What to Do When Youre Not Normal: CHI-Square and Some Other Nonparametric Tests75 Questions
Exam 18: Some Other Important Statistical Procedures You Should Know About47 Questions
Exam 19: Data Mining: An Introduction to Getting the Most Out of Your Big Data50 Questions
Exam 20: A Statistical Software Sampler9 Questions
Exam 21: The Ten or More Best and Most Fun Internet Sites for Statistics Stuff9 Questions
Exam 22: The Ten Commandments of Data Collection10 Questions
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The predicting variables in the regression analysis are ______.
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Correct Answer:
B
The goal in ______ analysis is to represent those things that are related to one another by a more general name?
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Correct Answer:
C
MANOVA (multivariate analysis of variance) is used when you want to include more than one dependent variable in an analysis.
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Correct Answer:
True
Give an example of a research situation where MANOVA would be the most appropriate statistical technique.
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In what type of ANOVA is there one factor on which participants are tested more than once?
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Which of the following advanced procedures is characterized by the use of more than one dependent variable?
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In data analysis, researchers often use a technique based on how well various items are related to one another and form clusters.What technique is this?
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Researchers collected data on many variables and then looked at the relationships among all of them.Those measures that seemed to contain items that were related were deemed ______.
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Multiple regression is a type of linear regression that includes more than one independent variable.
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Researchers combine data from several studies to examine patterns and trends.What analysis is that?
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Researchers use several independent variables to predict dependent variable.What analysis is this?
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Of the following, which procedure allows a researcher to explore how items on a particular measure cluster together?
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Repeated-measures analysis of variance is used when there is one factor on which participants are tested more than once.
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Structural equation modeling is a relatively new technique that has become increasingly popular since it was introduced in the early ______.
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It is very hard to determine clearly the effect of the treatment variable on any one outcome.Which test is most appropriate to use in this situation?
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Factor analysis is sometimes used since ______ can be better at representing outcomes than individual variables.
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Which analysis method is considered confirmatory, as opposed to exploratory?
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