Bartlett had participants read a story about ghosts, and then recall the story 20 minutes later (on Day 1), 1 day later (on Day 2), and again 2 weeks later. His dependent variable was the number of errors made. Hehypothesised that people would make more errors over time. The JAMOVI output is attached.Which of the following is true (select all that apply)?Repeated Measures ANOVAWithin Subjects EffectsTestResidual NoneResidualSphericity Correction Sum of Squares dfNote. Type 3 Sums of SquaresNoneBetween Subjects EffectsTestGreenhouse-GeisserGreenhouse-GeisserNote. Type 3 Sums of SquaresAssumptionsTests of SphericityTest20 Minutes1 DayMauchly's WPost Hoc TestsSum of Squares df Mean Square Fp n'p20.5560.884Post Hoc Comparisons - TestComparisonР0.539Test1 Day2 Weeks2 Weeks1116.72216.72215.9442215.944 19.7091.869Greenhouse-Geisser &-0.333-1.583-1.2500.896Mean Difference21.792SEMean Square8.3619.333dfHuynh-Feldt e0.7250.8091.000tPtukey0.355 11.000 -0.9380.6290.288 11.000 -5.506 <.0010.392 11.000 -3.191 0.022FР11.537 <.00111.537 <.0010.5120.512 Estimated Marginal MeansTestDependent32Nto20 Minutes1 DayTest• LouiĮ2 Weeksa. Participants made more errors after 2 weeks than after 1 day.Ob. Number of errors increased linearly with time.Oc. Number of errors decreased from Day 1 to Day 2.d. Number of errors did not differ on Day 1 and Day 2.

Given, the results of repeated measures ANOVA.

Answered: Bartlett had participants read a story…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Select the most appropriate answer. The prediction error for an observation, which is the difference between the actual value and the predicted value of the response variable, is called O a residual O a correlation O an outlier O an extrapolation
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otected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i
None
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