Stroop and Native Language

Use an independent t-test to analyze data from a fictitious study. This study compares the ability of native English speakers and native Spanish speakers to state the font color of words that are color names. Although some of the participants are nonnative English speakers, all participants are considered fluent in English at the time of the study. The tricky aspect of this task is that the words will be printed in colors that are incongruent to the color names. The independent variable is the native language, and the dependent variable is the time it takes to state the color of font for all the words. It is hypothesized the native English speakers will take longer to state the colors compared with the nonnative speakers. The data from the hypothetical study is given below. The explanations for the variable names used in the table are participant number (PID), time for native English speaker to read color words (NECW), age of participants in years (Age), and time for Spanish speaker to read color words (SSCW). PID NECW Age PID SSCW Age P1 39 27 P11 32 52 P2 44 32 P12 27 27 P3 59 29 P13 29 33 P4 38 34 P14 34 40 P5 58 40 P15 40 31 P6 62 38 P16 38 28 P7 41 35 P17 35 22 P8 59 51 P18 28 23 P9 58 50 P19 36 25 P10 76 29 P20 38 38 You need to take the data from the twenty fictitious participants provided and enter the data into Microsoft Excel. Click here for instructions to install the Data Analysis ToolPak. Obtain the descriptive statistics (be sure to reformat so these are clearly readable). Next, analyze the data with an independent t-test (be sure to reformat the output so it is clearly readable). Was the hypothesis supported?