An educational psychologist is examining response times to an on-screen stimulus. The researcherbelieves there might be a weak effect from age, but expects a more pronounced effect for differentcolor contrasts. She decides to examine a black on white (B/W) combination compared to 2alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (inmilliseconds):Color SchemeB/WR/WY/B25263633212224164552616-17224522229.11213510182231172233362125471730191138Age18-19391433373038159.4735132519264414404137182721251820-21223044162840252829251937Using MS Excel, conduct a 2-way ANOVA with a =0.05. Fill in the summary table.The last column in the table below is read as, "Partial Eta-squared " and is a concept that wasNOT covered in the lectures. Partial n2 is used when there is a chance the data is not independent%3D21(click here to read more if interested 2) Computing the values for "Partial nis not difficult. Simplydivide SSeffect by the sum of SSeffect and SSerror: For example, Partial n (A) = SSA /(SSA + SSerror)P-values should be accurate to 4 decimal places and all other values accurate to 3 decimalplaces. Using MS Excel, conduct a 2-way ANOVA with a =0.05. Fill in the summary table.The last column in the table below is read as, "Partial Eta-squared " and is a concept that wasNOT covered in the lectures. Partial n2 is used when there is a chance the data is not independent(click here to read more if interested ) Computing the values for "Partial n 2" is not difficult. Simplydivide SSeffect by the sum of SSeffect and SSerror: For example, Partial n 2(A) = SSA /(SSA + SSerror)P-values should be accurate to 4 decimal places and all other values accurate to 3 decimalplaces.SourcedfMSF-ratioP-valuePartial n?Age (A)2Color (B)2Interaction (A × B)4Error63

Name: An educational psychologist is examining response times to an on-scre
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Description: An educational psychologist is examining response times to an on-screen stimulus. The researcherbelieves there might be a weak effect from age, but expects a more pronounced effect for differentcolor contrasts. She decides to examine a black on whit

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An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (in milliseconds): Color Scheme B/W R/W Y/B 25 26 36 33 21 22 9. 24 16 45 26 16-17 22 45 22 22 9 11 21 35 10 18 22 17 22 36 21 25 47 17 30 19 11 38 Age 18-19 39 14 33 37 30 38 15 9. 47 35 13 25 19 26 44 14 40 41 37 18 27 21 25 18 20-21 22 30 44 16 28 40 25 28 25 19 Using MS Excel, conduct a 2-way ANOVA with a = 0.05. Fill in the summary table. The last column in the table below is read as, "Partial Eta-squared " and is a concept that was NOT covered in the lectures. Partial n2 is used when there is a chance the data is not independent (click here to read more if interested ) Computing the values for "Partial n 2" is not difficult. Simply divide SSeffect by the sum of SSeffect and SSerror: For example, Partial n²(A) = SSA /(SSA + SSerror) P-values should be accurate to 4 decimal places and all other values accurate to 3 decimal places.

An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (in milliseconds): Color Scheme B/W R/W Y/B 25 26 36 33 21 22 9. 24 16 45 26 16-17 22 45 22 22 9 11 21 35 10 18 22 17 22 36 21 25 47 17 30 19 11 38 Age 18-19 39 14 33 37 30 38 15 9. 47 35 13 25 19 26 44 14 40 41 37 18 27 21 25 18 20-21 22 30 44 16 28 40 25 28 25 19 Using MS Excel, conduct a 2-way ANOVA with a = 0.05. Fill in the summary table. The last column in the table below is read as, "Partial Eta-squared " and is a concept that was NOT covered in the lectures. Partial n2 is used when there is a chance the data is not independent (click here to read more if interested ) Computing the values for "Partial n 2" is not difficult. Simply divide SSeffect by the sum of SSeffect and SSerror: For example, Partial n²(A) = SSA /(SSA + SSerror) P-values should be accurate to 4 decimal places and all other values accurate to 3 decimal places.

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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