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This third question is the only one of this grouping with a statistically significant difference in response between the student groups (one-tailed N-1 two proportion test, p = 0.004 with the minority students more likely to agree).
For the analyses of employment, unemployment and full-time employment the two proportion measures were lagged by 1 year so that the dependent and independent variables were not based on the same information.
As the population, especially when divided into minority and White student groups, was too small for meaningful results from factor analysis (Thompson 2004; Tabachnick and Fidell 2013), t tests were run for the Likert scale responses, which are presented along with their effect sizes, Cohen's d (Grissom and Kim 2005), and N-1 two proportion tests were used for binary (yes/no, e.g).
With the exception of "My school counselor encouraged me" (one tailed N-1 two proportion test, p = 0.031 with the White students more likely to cite this factor), none of the differences between the responses of these two student groups in Fig. 2 were statistically significant.
Despite this large difference in percentage, the results are not statistically significant at a 95% confidence level (one tailed N-1 two proportion test, p = 0.103), likely due to the small sample size that resulted from dividing the respondents by ethnicity.
To compare differences in the proportion of tumor types in each background, a two proportion z test for equal proportions was used.
Similar(42)
Two proportions of resistant cultivar were tested in homogenous mixture.
Standard errors for the differences of two proportions were estimated based on the standard errors of each of the two proportions.
There is an extremely statistic significance in the difference between these two proportions (z=5.83, p<0.0001).
In the original Greek sense, analogy involved a comparison of two proportions or relations.
Score statistic for testing homogeneity of difference between two proportions and score confidence interval of the common difference of two proportions in a stratified bilateral-sample design are derived.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com