1 Running head: STROOPDATA ANALYSIS Name: Institutional Affiliation: Date: STROOPDATA ANALYSIS 2 1. Independent variables- whether the words shown are congruent with the colors of ink or whether they are incongruent. Dependent variable- duration is taken to name the ink colors in which the words are displayed. 2. Hypotheses: a) Null hypothesis (H0), The mean task of the congruent condition (µ1) is the same as the mean task of the incongruent condition (µ2). The alternative hypothesis (H1). The mean task of the congruent condition (µ1) is not the same as the task of the incongruent condition (µ2). H0=µ1-µ2=0 H1=µ1-µ2≠0 b) The proposed statistical test is the paired t-test for the sample means. The assumption made is that the sample mean of the congruent condition is the same as that of the incongruent condition. The paired t-test is chosen because the samples are for tests from the same subject. That is, both involve naming the ink colors in which the word colors are displayed. 3. Measures of central tendency and measures of variability. Column1 Column2 congruent Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum 14.051125 0.726550901 14.3565 #N/A 3.559357958 12.66902907 -0.205224823 0.416899874 13.698 8.63 22.328 STROOPDATA ANALYSIS Sum Count 337.227 24 Column1 Column2 incongruent Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 22. ...
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