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Exhibit 13

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Exhibit 13.5 A police chief wants to determine if crime rates are different for four different areas of the city (East(1) ,West(2) ,North(3) ,and South(4) sides) ,and obtains data on the number of crimes per day in each area.The one-way ANOVA table and Tukey's confidence intervals are shown below. Exhibit 13.5 A police chief wants to determine if crime rates are different for four different areas of the city (East(1) ,West(2) ,North(3) ,and South(4) sides) ,and obtains data on the number of crimes per day in each area.The one-way ANOVA table and Tukey's confidence intervals are shown below.     Refer to Exhibit 13.5.At the 1% significance level,the conclusion from Tukey's confidence intervals is: A) Cannot conclude the mean number of crimes differs for West and East B) Cannot conclude the mean number of crimes differs for West and South C) Cannot conclude the mean number of crimes differs for South and North D) Cannot conclude the mean number of crimes differs for West and North Exhibit 13.5 A police chief wants to determine if crime rates are different for four different areas of the city (East(1) ,West(2) ,North(3) ,and South(4) sides) ,and obtains data on the number of crimes per day in each area.The one-way ANOVA table and Tukey's confidence intervals are shown below.     Refer to Exhibit 13.5.At the 1% significance level,the conclusion from Tukey's confidence intervals is: A) Cannot conclude the mean number of crimes differs for West and East B) Cannot conclude the mean number of crimes differs for West and South C) Cannot conclude the mean number of crimes differs for South and North D) Cannot conclude the mean number of crimes differs for West and North Refer to Exhibit 13.5.At the 1% significance level,the conclusion from Tukey's confidence intervals is:


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