Chi Square Crash Course Quiz Part A: We conduct a similar study using the same two groups we used for the t-Test. Recall that in that study, after Katie wrote "I feel great after my workout!", she posted a picture of herself (Picture A). Katie's friend Sarah then wrote: "Katie, I really love seeing your pictures. You're the queen of social media! You always look so great that I can't help but share pics, too! So, to all my friends (and Katie), I hope you like this pic!" Sarah then posted one of the following two pictures: A. Filtered Picture: Sarah reposts Katie's original picture, so participants see Picture A twice B. Unfiltered Picture: Sarah posts a new, unfiltered picture of Katie (Picture B) Picture A Picture BFor our current chi square analysis, we want to make sure participants saw our manipulation as we intended. We ask them, "Do you think the original picture that Katie's posted was filtered / altered? (1 = Yes, 2 = No)." Note that there is no real prediction here. We simply want to see if participants think that the original picture that Katie posted was altered. If our manipulation was successful, then those who saw only the filtered picture should say it is not altered (as they will not have another picture for comparison). Those who saw the unfiltered picture should say that the original was altered (which should be obvious given that they saw two different pictures).Condition (1 = Unfiltered Picture, 2 = Filtered Picture) * Do you think the original picture Katie posted was filtered / altered? (1 = Yes, 2 = No) Crosstabulation Do you think the original picture Katie posted was filtered / altered? (1 = Yes, 2 = No) Yes No Total Condition (1 = Unfiltered Count 21 10 31 Unfiltered Picture, 2 = Picture % within Condition (1 = 67.7% 32.3% 100.0% Filtered Picture) Unfiltered Picture, 2 = Filtered Picture) Filtered Count 9 22 31 Picture % within Condition (1 = 29.0% 71.0% 100.0% Unfiltered Picture, 2 = Filtered Picture) Total Count 30 32 62 % within Condition (1 = 48.4% 51.6% 100.0% Unfiltered Picture, 2 = Filtered Picture)Chi-Square Tests Asymptotic Significance Exact Sig. Exact Sig. Value df (2-sided) (2-sided) (1-sided) Pearson Chi-Square 9.300 002 Continuity Correction 7.815 005 Likelihood Ratio 9.549 002 Fisher's Exact Test 005 002 Linear-by-Linear 9.150 002 Association N of Valid Cases 62 Symmetric Measures Approximate Value Significance Nominal by Nominal Phi 387 002 Cramer's V 387 002 N of Valid Cases 62