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?

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