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Subjects Analysis of Variance statistics MCQ

1. Protected Test is a test that reduces the risk for Type I error by using more conservative procedures. Some examples include the Bonferroni procedure and the Tukey honestly significant difference test. Also called a post hoc test.

True

False

Answer

Correct Answer: True

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2. A test of the significance of an overall model (such as a multiple regression) that includes all predictor variables is known as ______ .

Omnibus Test

Planned Contrast

Unprotected Test

None of these

Answer

Correct Answer: Omnibus Test

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3. Grand Mean for all the scores in an entire study, denoted by ________ .

Mgrand.

Both a & b

None of these

Answer

Correct Answer: Both a & b

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4. Orthogonal term means that contrasts are ________ .

Independent

Uncorrelated

Both a & b

None of these

Answer

Correct Answer: Both a & b

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5. Harmonic Mean of n’s is a method of computing an _______ n across groups that have unequal n’s.

Average

Total

Half

All of these

Answer

Correct Answer: Average

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6. F ratio is obtained by taking a mean square that represents variability that can be predicted from the ________ .

Independent variable

Dependent variable

Both a & b

None of these

Answer

Correct Answer: Independent variable

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7. A significance test that does not use more conservative decision rules to decide whether multiple comparisons between group means are statistically significant is known as _______ .

Omnibus Test

Planned Contrast

Unprotected Test

None of these

Answer

Correct Answer: Unprotected Test

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8. A Priori Comparison is known as ______ .

Omnibus Test

Planned Contrast

Unprotected Test

Contrast

Answer

Correct Answer: Contrast

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9. The levels of a _________ typically correspond to different types of treatment, or different dosage levels of the same treatment, administered to participants by the researcher .

Factor

Opinion

Both a & b

None of these

Answer

Correct Answer: Factor

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10. Which of the correct statements about Analysis of Variance ?

In the context of analysis of variance, a categorical predictor variable is usually called a factor

An analysis that tests whether there are statistically significant differences between groups means on scores on a quantitative outcome variable across two or more groups

A test of the significance of an overall model (such as a multiple regression) that includes all predictor variables.

None of these

Answer

Correct Answer: An analysis that tests whether there are statistically significant differences between groups means on scores on a quantitative outcome variable across two or more groups

Note: This Question is unanswered, help us to find answer for this one

Applied Statistics MCQs | Topic-wise

MCQ on Additional Statistical Techniques	MCQ on Advanced Statistical Data Screening
MCQ on Basic Applied Statistics	MCQ on Basic Research Statistics
MCQ on Binary Logistic Regression in Statistics	MCQ on Bivariate Pearson Correlation
MCQ on Bivariate Regression in Statistics	MCQ on Chi-Square Analysis of Contingency Tables
MCQ on Descriptive Statistics	MCQ on Discriminant Analysis in Statistics
MCQ on Equation Modeling in Statistics	MCQ on Evaluating Numerical Information
MCQ on Exploratory Factor Analysis in Statistics	MCQ on Factorial Analysis of Variance statistics
MCQ on Frequency Distribution Tables	MCQ on Graphical Statistics
MCQ on Independent-Samples t Test	MCQ on Issues in Significance Tests
MCQ on Mediation in Statistics	MCQ on Moderation in Statistics
MCQ on Multiple Dummy Predictor Variables	MCQ on Multiple Regression with Multiple Predictors
MCQ on Multivariate Analysis of Variance	MCQ on New Statistics
MCQ on Normal Distribution and z Scores	MCQ on One-Sample Test of Statistics
MCQ on Paired Samples t Test	MCQ on Regression Analysis and Statistical Control
MCQ on Reliability, Validity, and Multiple-Item Scales in Statistics	MCQ on Repeated-Measures Analysis of Variance
MCQ on Sampling Error Statistics	MCQ on Statistical Analysis of Covariance
MCQ on Statistical Control	MCQ on Subjects Analysis of Variance statistics
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