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.
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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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*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.
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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