PLEASE USE TABLE IN LINK https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519332/table/tbl1/?report=objectonly  Table 1 gives p-values for different x2 tests of independence. For instance, in the second set of rows titled "Race/ethnicity," the given p-value is for the hypotheses.        H0: Race is independent of being a bully,        H1: Race is not independent of being a bully. The table says the p-value is less than 0.001. (Note that this p-value is calculated using a more sophisticated version of the x2 test than the one presented in the textbook, so we should not expect to be able to calculate the exact p-value ourselves.) This small p-value means we should reject H0. What does this mean in less technical terms? Does this mean that race is associated with bullying or not? Explain.   The p-value in the first row of Table 1 is for the hypotheses.        H0: Gender is independent of being a bully,        H1: Gender is not independent of being a bully. What does this p-value mean about the relationship between gender and bullying?   At the bottom of Table 1 on page 2282, are given several parent characteristics. A p-value is given for each characteristic. These p-values are for the hypotheses      H0: Parent characteristic is independent of being a bully,      H1: Parent characteristicis not independent of being a bully. Which, if any, of these parent characteristics appears to be associated with being a bully? Explain how you came to this conclusion.

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*PLEASE USE TABLE IN LINK https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519332/table/tbl1/?report=objectonly 

  1. Table 1 gives p-values for different x2 tests of independence. For instance, in the second set of rows titled "Race/ethnicity," the given p-value is for the hypotheses.

           H0: Race is independent of being a bully,

           H1: Race is not independent of being a bully.

    The table says the p-value is less than 0.001. (Note that this p-value is calculated using a more sophisticated version of the x2 test than the one presented in the textbook, so we should not expect to be able to calculate the exact p-value ourselves.) This small p-value means we should reject H0. What does this mean in less technical terms? Does this mean that race is associated with bullying or not? Explain.
     
  2. The p-value in the first row of Table 1 is for the hypotheses.

           H0: Gender is independent of being a bully,

           H1: Gender is not independent of being a bully.

    What does this p-value mean about the relationship between gender and bullying?
     
  3. At the bottom of Table 1 on page 2282, are given several parent characteristics. A p-value is given for each characteristic. These p-values are for the hypotheses
     H0: Parent characteristic is independent of being a bully,

     H1: Parent characteristicis not independent of being a bully.

Which, if any, of these parent characteristics appears to be associated with being a bully? Explain how you came to this conclusion.
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