Project #71879 - question 1

1. The percent confidence interval is the range having the percent probability of containing the actual population parameter. (Points : 1)
        
        

 

Question 2.2. The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution. (Points : 1)
        
        

 

Question 3.3. Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences). (Points : 1)
        
        

 

Question 4.4. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1)
        
        

 

Question 5.5. The goodness of fit test null hypothesis states that the sample data does not match an expected distribution. (Points : 1)
        
        

 

Question 6.6. Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data. (Points : 1)
        
        

 

Question 7.7. The goodness of fit test requires the expected distribution to be equally distributed across the categories. (Points : 1)
        
        

 

Question 8.8. For a two sample confidence interval, the interval shows the difference between the means. (Points : 1)
        
        

 

Question 9.9. A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant. (Points : 1)
        
        

 

Question 10.10. The Chi-square test can be performed on categorical (nominal) level data. (Points : 1)
        
        

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Due By (Pacific Time) 05/22/2015 04:00 pm
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