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Stroop and Native Language: Use an independent t-test to analyze data from a fictitious study.

Stroop and Native Language: Use an independent t-test to analyze data from a fictitious study.

 

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)

  1. 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? Write a results section in a 1-page Microsoft Word document and then a summary statement about the conclusions of the study.
  2. Copy and paste the Microsoft Excel data sheet and the data output from the Microsoft Excel data analysis into your Microsoft Word document above your results section. Make sure that the written work is in APA format.

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