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Univariate 1 Tulane Final Exam Study Guide 2025 | Complete Verified Questions & Answers (Graded A+) | Factorial Design, ANOVA, Chi-Square & Repeated Measures Explained

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Master Univariate Analysis and Pass Your Final with Confidence! This Tulane University Univariate 1 Final Exam Study Guide (2025 Edition) contains complete, verified questions and answers based on the latest university-level exam materials. It’s written in a clear, exam-focused format designed to help students understand core concepts in ANOVA, factorial design, Chi-square, and interaction effects. Topics Covered: 2-way and 3-way interactions: definitions, magnitude, and direction Repeated Measures ANOVA & factorial design logic Carryover effects and sphericity assumptions Split-plot (mixed) ANOVA — 1 between-groups and 1 repeated IV Chi-square tests: χ² Goodness of Fit Test χ² Test of Independence df, E, and O calculations Determining significance (χ²critical vs. χ²observed) Odds ratios and expected counts Nonparametric test concepts and assumptions

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Univariate 1 Tulane Final Exam Study
Guide Exam COMPLETE QUESTIONS
AND ANSWERS | ALREADY PASSED |
2025 LATEST!!
What is true about consistency among the three 2-way interaction definitions?

a.If one of the definitions shows that the 2-way interaction is present, then all other definitions
will also show that the 2-way interaction is present

1.Define a 2-way interaction

a.The effect of one IV(A) on the DV varies across levels of another IV (B)

Define a 3-way interaction

a.The simple two-way interaction(the effect of one IV (A) on the DV varying across levels of
another IV (B)) varies across the levels of a third IV (C)

1.What are the three questions you ask to determine if a 3-way interaction is present?

a.Presence- Are 2-way interactions present in the two plots?



b.Direction- What are the directions of the 2-way interactions?



c.Magnitude- How large are the magnitudes of the 2-way interactions, in terms of the angles
between the lines in the interactions?

1.Explain the process of determining if a 3-way interaction is present using the questions?

1.What does Repeated Measures mean?

a.Each subject's DV score is measured at every level of a repeated measures IV



b.Subjects are measured multiple times, for each IV condition/level

1.What does it mean if an experiment has factorial design?

,a.Each level of one variable is paired with each level of the other variable

1.What is another term for repeated measures ANOVA?

a.One score per cell analysis

1.Define Carryover effects

a.The effects of earlier trials on the DV scores obtained in later trials

1.What happens if the Sphericity assumption is violated in RM ANOVA?

Type 1 error rate begins to rise

Why don't we know for sure the specific value of Box's Epsilon?

a.There are multiple methods of computing Box's Epsilon that all produce different values of
Box's Epsilon, and there isn't a clear answer about which method is the best one.

1.True or false: the same effects are tested in 2-way RM as are tested in 2-way BG?

True

1.Define Split-Plot ("Mixed") ANOVA

a.2-way design with 1 repeated measures IV and 1 between groups IV



b.Subjects are divided into groups by 1 IV (i.e. sex) and are measured at every level of another
IV

1.What are the two types of Chi-Square (𝜒²) Analyses and what is the primary difference
between them?

a.𝜒² Goodness of Fit Test- Only used for just one categorical variable



b.𝜒² Test of Independence -2 variables : categorical IV and categorical DV

What kind of data is analyzed using Chi-square analyses?

a.Count data

1.What is the equation for 𝜒²?

a.𝜒² = Σ((O-E)²/E)

1.What do E and O stand for in the 𝜒² equation?

, a.E = expected count (expected value) for each category



b.O = observed count (observed value) for each category

1.What is the equation for E in the 𝜒² Goodness of Fit Test?

a.Ei = 𝚷i x N



i.𝚷i = probability of i

How do you find the df for 𝜒²critical in the 𝜒² Goodness of Fit Test?

a.𝜒²critical = 𝜒²(number of cells -1, α = .05)

What is the significance rule for the 𝜒² tests in the metric of the test statistic 𝜒²?

If 𝜒²observed > 𝜒²critical, then it's significant and you can reject the null hypothesis

What is the equation for odds for the 𝜒² tests?

ODDSi = 𝛑i / (1-𝛑i)

What is the equation for E in the 𝜒² Test of Independence?

a.E =(nr*nc)/N



i.nr = number in row



ii.nc = number in column



iii.N = total number

1.How do you find the df for 𝜒²critical in the 𝜒² Test of Independence?

a.𝜒²critical = 𝜒²((number of rows - 1)*(number of columns - 1), α = .05)

1.True or false: there are no assumptions of normality of errors, homogeneity of variance,
independence of errors, etc for Chi-square analyses ?

True

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