Correlation of sex and age r 0119 based on n50 observations with pairwise

# Correlation of sex and age r 0119 based on n50

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Correlation of sex and age (r=-0.119), based on n=50 observations with pairwise nonmissing values. Correlation of age with itself (r=1), and the number of nonmissing observations for sex (n=50). To conclude, cell B and C are identical, because they include information about the same pair of variables. Cell B and C contain the correlation coefficient for the correlation between sex and age, its p-value, and the number of complete pairwise observations that the calculation was based on. Also A and D are all equal to one (1) because a variable is always perfectly correlated with itself. Hence, there is negative correlation between sex and age since correlation of sex and age r=-0.119 is below zero. f. From the table, the spearman s correlation coefficient, r s , is -0.150, and that this is not statistically significant (p=0.299). A spearman s rank-order correlation was run to determine the relationship between 50 age and level of education. There was a weak, negative correlation between age and level of education, which was not statistically significant ( r s =-0.150, p=0.299).
In other words, there is no statistical significance correlation between age and level of education since P=0.299 is more than 0.05 significant level. g . i. The total sample for males and females in JHS is 13, out of the 13 males and females, there are 6 males who are in JHS,where 4 of the males with the percentage of 66.7 fall within the age range of 25-31 and 2 males with the percentage of 33.3 fall within the age range of 32-38. Also,

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• Spring '20
• Dr. ASRAVOR
• Statistical hypothesis testing, Statistical significance, Spearman's rank correlation coefficient, total sample

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