T-test and Correlation Statistics Project Example | Topics and Well Written Essays - 500 words

T-test and Correlation - Statistics Project Example This paper will analyze difference in the percentage usage of prepositions in writing between native and non native speaker of English in their texts. For this, 10 texts written by a native speaker of English and another 10 texts written by a non-native speaker of English (Arab writer) in the usage (percentage) of prepositions were collected (table 1). The research hypothesis is â€Å"Is there a difference in the use of prepositions in writing between native and non native speaker of English?† The null and alternate hypotheses are H0: µnative =  µnon-native H1: µnative ≠   µnon-native The selected level of significance, ÃŽ ± is 0.05. The test selected is two-tailed t-test for independent samples (Independent Samples Test) because alternate hypothesis involves not equal to sign (≠ ). The average percentage use of prepositions in writing for non-native speaker of English in their text is 38.50 (SD = 6.35). The average percentage use of prepositions in writing for native speaker of English in their text is 38.30 (SD = 4.64). From figure 1, it appears that there is no difference in the use of prepositions in writing between native and non-native speaker of English. The Levene’s test for equality of variance is not significant, F(1, 18) = 1.90, p = .19 (>.05). Therefore, equal variance can be assumed for t-test. The null hypothesis H0 is retained. Therefore, there is no difference in the use of prepositions in writing between native and non native speaker of English, t(18) = 0.08, p = .94 (>.05). Both data set (data set 1 and data set 2) shows no correlation, r(8) = .06, p = .87 (>.05). In conclusion, data suggest that there is no difference in the usage of prepositions in writing between native and non native speaker of English.