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1. Cramer’s V is used instead of X2 in analyses which are bigger than 2x2.
2. Cramer's V is used when assumptions for conducting chi square are violated.
3. Cramer's V is a measure of effect used for tests of association.
4. Cramer's V is a way of reporting the ratio between the observed and expected scores.
Answer: Cramer's V is a measure of effect used for tests of association.
1. (r-1) x (c-1) x (n-1)
2. (r-c) x (n-1)
3. (r-1) x (c-1)
4. (r+1) x (c+1)
Answer: r-1) x (c-1)
* True
* False
Answer: TRUE
1. The sample size would have to be so large that chi square analysis would not be powerful enough to interpret the data.
2. It can be difficult to interpret accurately all of the relationships within a large contingency table.
3. That type of analysis would not meet the criteria for a chi square test.
4. They would have to be analyzed by hand as SPSS has no option for tables larger than 3x3.
Answer: it can be difficult to interpret accurately all of the relationships within a large contingency table.
1. Two-tailed.
2. It doesn't matter.
3. One-tailed.
4. SPSS will include the right one in the output.
Answer: It doesn't matter.
1. Chi square tests can be used to check how well a model fits the data
2. Chi square can be applied to continuous variables; it just means that a larger contingency table is needed.
3. Chi square is used in research to measure the association between two categorical variables.
4. None of these statements are false, it is a trick question.
Answer: Chi square can be applied to continuous variables; it just means that a larger contingency table is needed.
1. 3x2
2. 3x3
3. 2x2
4. 3x1
Answer: 3x2
1. Fisher's Exact Probability Test shows the F statistic associated with the chi square value when the null is assumed to be true.
2. The Fisher's Exact Probability Test shows the probability of reaching the assumption of 25% of cells with an expected frequency of less than 5.
3. The Fisher's Exact Probability Test shows the percentage of variation which one variable accounts for in the other.
4. The Fisher's Exact Probability Test shows the probability of obtaining the chi square value when the null is assumed to be true.
Answer: The Fisher's Exact Probability Test shows the probability of obtaining the chi square value when the null is assumed to be true.
1. The number of participants, the X2 value, and the probability level
2. The Pearson's X2, degrees of freedom and the probability level.
3. The number of participants, the degrees of freedom, X2, and the probability level
4. The X2 and the probability level.
Answer: The Pearson's X2, degrees of freedom and the probability level.
Quantitative models are frequently used in different engineering disciplines for predicting situations, due dates, required cost and so on. These quantitative models are based on some kinds of measure performed on project data or items.
The number of (in)equalities is the number of times that the operator is found in atomic conditions of a program.
1. A Pearson's correlation coefficient
2. A 2x2 test of independence
3. One variable chi square test (goodness of fit)
4. A Fisher's Exact Probability Test
Answer: a Fisher's Exact Probability Test
1. 25; 5
2. 75; 95
3. 4; 1
4. 5; n
Answer: 25; 5
The nesting degree is the maximum number of conditional statements that are nested one inside another.
1. 8% of the variation in frequency counts of essay submission timing (on time or late) can be explained by time planning.
2. 42% of the variation in frequency counts of essay submission timing (on time or late) can be explained by time planning.
3. 64.8% of the variation in frequency counts of essay submission timing (on time or late) can be explained by time planning.
4. 4.2% of the variation in frequency counts of essay submission timing (on time or late) can be explained by time planning.
Answer: 8% of the variation in frequency counts of essay submission timing (on time or late) can be explained by time planning.
branch coverage is the percentage of branches exercised in a program. This coverage measure is used in most of the related papers in the literature.
Cyclomatic complexity is a complexity measure of code related to the number of ways there exists to traverse a piece of code. This measure determines the minimum number of test cases needed to test all the paths using linearly independent circuits.
Statement coverage is defined as the percentage of statements that are executed.
Cyclomatic complexity is computed using the control flow graph of the program, the nodes of the graph correspond to indivisible groups of sentences of a program and a directed edge connects two nodes if the second sentence might be executed immediately after the first sentence.
Cyclomatic complexity may also be applied to individual functions, modules, methods or classes within a program, and is formally defined as follows:
v(G) = E − N + 2P
where E is the number of edges of the graph, N is the number of nodes of the graph and P is the number of connected components.
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