# BST 322 BST322 Quiz 3 Answers (National University)

- Chi square test for independence compares observed frequencies with:
- The degrees of freedom for a 3X4 contingency table are:
- The formula for ____________ is (Rtotal X Ctotal)/N
- This is the measure of strength of relationship most commonly used with a 2X2 table
- Non-parametric tests do not require that variables be normally distributed
- Non-parametric tests may be run when the assumptions for parametric tests cannot be met
- Non-parametric tests are more powerful than parametric tests
- This is used when a conservative approach is desired and an expected cell frequency is less than 10 in a 2X2 table.
- This is used when the expected cell frequency in a 2X2 table is less than 5
- This test is analogous to the t-test (independent groups), when the measurement of the dependent variable is ordinal.
- This can be thought of as the chi-square type equivalent to the paired t-test
- Chi-square tests can only be conducted for a 2X2 contingency table.
- Parametric tests can be used with any type of data
- The test statistic calculated in the process of a Kruskall-Wallis test is H
- The distribution of chi-square values is normally distributed
- Generally, tests for ordinal variables involve ranking in some way.
- A researcher wants to determine if blocked heparin lock (yes or no) is related to the occurrence of subsequent complications (yes or no). The Chi-Square null hypothesis for this study is that a blocked heparin lock leads to complications.
- Parametric tests can be used with any type of data as the dependent variable (i.e., nominal, ordinal, interval, etc.).
- If the Chi-Square statistic is less than the table value, we accept the null hypothesis
- Expected frequencies are the number of cases that would be found in each cell if the null hypothesis were true.