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A statistically significant relationship between variables means that there is n

ID: 3202643 • Letter: A

Question

A statistically significant relationship between variables means that there is no possibility that the variables are unrelated. True False Which of the following is a two-tailed hypothesis? Children with sexual behavior problems who participate in a comprehensive therapeutic foster care/treatment program will be more likely to stop their inappropriate behaviors than children with sexual behavior problems who do not participate in the program. There is a negative correlation between resistance to treatment and successful outcomes. There is a positive correlation between treatment in a sexual offenders program and one's overall level of functioning. There is a correlation between the number of sexual offenses and level of empathy What is the null form of this research hypothesis: There is a strong negative correlation between self-esteem and depression in gay and lesbian youth. Self-esteem is positively correlated with depression in gay and lesbian youth. There is no correlation between self-esteem and depression in gay and lesbian youth Heterosexual youth have higher self-esteem than gay and lesbian youth. There is a correlation between self-esteem and depression in gay and lesbian youth. What is effect size? the strength of the relationship between variables mistakenly failing to reject the null hypothesis repeating a research study one or more times using the same methods but different research samples to see if the same findings are produced the natural tendency of any sample, especially a small one, to differ from the population from which it was drawn

Explanation / Answer

If the probability of being wrong is small, then we say that our observation of the relationship is astatistically significant finding.Statistical significance means that there is a good chance that we are right in finding that a relationshipexists between two variables. So answer is yes.

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