Why are standards of 1 percent and 5 percent level of significance often used? What objections might be

Why are standards of 1 percent and 5 percent level of significance often used? What objections might be raised against using standards of, say, .01 percent or 10 percent?
Distinguish between statistical significance and practical relevance. Give an example where a statistically significant result might be practically irrelevant?
1. What is the critical value for a chi-square test with 13 degrees of freedom at the 1 percent level of significance?
2. Using the critical value from part a, if the chi-square test statistic were 16.98 what would you conclude regarding the null hypothesis?

A statistical software program reports a test to be significant at "p=.035." At what level of significance should this be reported by the analyst (that is, 1 percent or 5 percent)? And what about: "p=.056," "p=.0000," and "p=.9989"?
Create two hypothesis sets for Chi-square tests that might be used for a study that examines the impact of community-based policing on neighborhood crime.
Use the Public Perceptions dataset. Test whether there is a statistically significant relationship between trusting the county government to do what is right most of the time (Trust) and believing that county government works efficiently (Works). What is the practical significance of this relationship?
[Your Chapter 8 HW should help you with this question.] Use the Public Perceptions dataset. Two of the most important issues were helping public schools (Pubschl) and dealing with the problems of gangs (Gangs). In the population of the county, do whites and nonwhites agree on the importance of these priorities? On which issues are there differences? Discuss the practical importance of any significant differences.

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