Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences).
True
False
Question 2.
Question :
The percent confidence interval is the range having the percent probability of containing the actual population parameter.
True
False
Question 3.
Question :
The distribution for the goodness of fit test equals k-1, where k equals the number of categories.
True
False
Question 4.
Question :
The Chi-square test can be performed on categorical (nominal) level data.
True
False
Question 5.
Question :
A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant.
True
False
Question 6.
Question :
In confidence intervals, the width of the interval depends only on the variation within the data set.
True
False
Question 7.
Question :
For a two sample confidence interval, the interval shows the difference between the means.
True
False
Question 8.
Question :
If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference.
True
False
Question 9.
Question :
Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data.
True
False
Question 10.
Question :
The Chi-square test is very sensitive to small differences in frequency differences.