SYM-506 MODULE 8 HW

# SYM-506 MODULE 8 HW - SYM 506 Applied Business Probability...

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Gerald McGill Grand Canyon University Module Eight - Problem Set Week 8 P10 - 40 Score This large p-value indicates that there is no evidence wh Chi-Square T Data Set #1 on over 60% of future chi-square tests that we would rec Mean Err:508 the data used in our example and from that of another ra Std Dev Err:508 Chi-Square S #ADDIN? p-Value #ADDIN? Chi-Squared Bin Min Bin Max Actual Normal Distance Bin # 1 -Inf 69.000 Err:508 Err:508 Err:508 Bin # 2 69.000 72.833 Err:508 Err:508 Err:508 Bin # 3 72.833 76.667 Err:508 Err:508 Err:508 Bin # 4 76.667 80.500 Err:508 Err:508 Err:508 Bin # 5 80.500 84.333 Err:508 Err:508 Err:508 Bin # 6 84.333 88.167 Err:508 Err:508 Err:508 Bin # 7 88.167 92.000 Err:508 Err:508 Err:508 Bin # 8 92.000 +Inf Err:508 Err:508 Err:508 5 10 15 20 25 Chi-Square Test for Score / Data Set #1 Column D Column E Bin Occupation

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P10 - 43 Amount The p-value in this problem indicates a high degree of no Chi-Square T Data Set #1 that is most often associated with normality does not exh Mean Err:508 The most obvious area in which the chi-square in this pro Std Dev Err:508 shows that the occurance of bin #3 outcomes greatly out Chi-Square S #ADDIN? distribution. Furthermore, the p-value of the problem indi p-Value #ADDIN? exhibit a better fit to the bell-shaped curve than the data Chi-Squared Bin Min Bin Max Actual Normal Distance Bin # 1 -Inf 409.48 Err:508 Err:508 Err:508 Bin # 2 409.48 454.16 Err:508 Err:508 Err:508 Bin # 3 454.16 498.84 Err:508 Err:508 Err:508 Bin # 4 498.84 543.52 Err:508 Err:508
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SYM-506 MODULE 8 HW - SYM 506 Applied Business Probability...

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