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d. None of the above 29. The chi-squared goodness of fit test can be used to det

ID: 2909598 • Letter: D

Question

d. None of the above 29. The chi-squared goodness of fit test can be used to determine er scores on one variable are correlated with scores on another variable ether a set of observations differ from theoretical expectations a. Wheth b. Wh c. Whether a set of observ d. Whether a set of observations comes from a uniform distribution ations comes from a normal distribution 30. Which one of the plots to the right has a larger standard error of the estimate? Fill in the appropriate circle on your scantron).

Explanation / Answer

Question 29

b.   Wether a set of observations differ from theoretical expectations.

Chi-Square goodness of fit test is used to find out how the observed value of a given phenomena is significantly different from the expected value. In Chi-Square goodness of fit test, the term goodness of fit is used to compare the observed sample distribution with the expected probability distribution. In Chi-Square goodness of fit test, sample data is divided into intervals. Then the numbers of points that fall into the interval are compared, with the expected numbers of points in each interval.

This is not particularly for normal and uniform distribution. That is why c and d are not correct. And for a, we want a correlation coefficient test.

Question 30.

In the given figures, the line that passes through the center is the estimate and the dots are the original value. Now, the graph in which the original dots are more far away than the estimated line, that graph has a larger standard error of the estimate.

Hence, graph B has larger standard error of the estimate.