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A chi-square statistic can be large if either there is a large difference between the observed and expected values for one or more categories. However, it can also be large if the expected value in a category is very small.
In the first case, it is likely that the data are not distributed according to the null hypothesis. In the second case, it can often mean that that, because of low expected values, adjacent categories need to be combined before the chi-square statistic is calculated.
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Which combination of factors is most likely to produce a significant value for an independent-measures t statistic?
To know which combination of factors is most likely to produce a significant value it is important to know what the factors are. Without knowing what factors there are to choose from it is hard to know what the answer is.
Will a large sample size and a small sample variance produce the largest value for the estimated standard error?
no
What is a t value?
It is a value of a test statistic based on the Student's t distribution.
What does the test statistic measure?
The test statistic is a measure of how close the sample proportion is to the null value.
What sample statistic is used to estimate a population parameter?
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
