Deck 8: Chi-Square

Question 1

Researchers study the relationship between interpersonal violence and health in college age women. They selected an alpha of 0.05. The researchers wanted to see if there was a significant difference in the type of primary residence (home vs. student housin

A) Chi-square
B) McNemar's test
C) A cumulative percentage
D) A cumulative frequency
G) for abused versus non abused college aged women (yes/no). What statistical test would be appropriate for this analysis?

Answer 1

A

Question 2

Researchers study the relationship between interpersonal violence and health in college age women. The selected an alpha of 0.05. The researchers wanted to see if there was a significant difference in the type of primary residence (home vs. student housin

A) There is an inadequate sample size.
B) A type II error has occurred.
C) There is a statistically significant difference in the type of primary residence for abused vs. non-abused college aged women.
D) There is not a statistically significant difference in the type of primary residence for abused vs. non-abused college aged women.
G) for abused versus non abused college aged women. They report a p value of 0.35. You know this means:

Answer 2

D

Question 3

You are conducting a study to determine if there is a relationship between sleeping well (yes/no) and arriving at work on time (yes/no). What test would be appropriate to use?

A) spearman's correlation coefficient
B) student t-test
C) chi-square
D) ANOVA

Answer 3

C

Question 4

You are conducting a study to determine if there is a relationship between daily teeth brushing (yes/no) and coronary heart disease (yes/no). What test would be appropriate to use?

A) spearman's correlation coefficient
B) student t-test
C) chi-square
D) ANOVA

Question 5

The director of the clinical documentation department wants to determine if there is an association between meeting monthly productivity goals (met/unmet) and nurses being certified clinical documentation specialists (yes/no). What would be the appropriate analysis method for the researcher to choose?

A) McNemars test
B) ANOVA test
C) Student T-test
D) Chi-Square test

Question 6

A study examines the abuse of bath salts (yes/no) and bowel control (yes/no). The Chi Square is 32.8 with a p value of 0.005. You know this means:

A) A type I error was made
B) The abuse of bath salts increases fecal incontinence.
C) The abuse of bath salts is associated with bowel control.
D) A clinically significant association was found.

Question 7

A study examines the risk of overdose (yes/no) and the use of hydromorphone (yes/no) in a sample of teens. What would be an appropriate test to use?

A) Chi-square
B) Independent t-test
C) Dependent t-test
D) McNemars test

Question 8

A pilot study examines the concurrent use of dextromethorphan and SSRIs (yes/no) and serotonin syndrome (yes/no). The alpha was 0.10 and the power was 0.80. The p value was 0.03. You know this means:

A) Use of dextromethorphan increases the risk of serotonin syndrome.
B) There is no association between concurrent use of dextromethorphan and SSRIs and serotonin syndrome
C) There is a clinically significant association between concurrent use of dextromethorphan and SSRIs and serotonin syndrome
D) There is a statistically significant association between concurrent use of dextromethorphan and SSRIs and serotonin syndrome.

Question 9

A study examines the use of synthetic opioids and neuropathic pain. The Chi-square value is 2.71. You know this means:

A) There is a statistically significant association between the use of synthetic opioids and neuropathic pain.
B) There is no association between the use of synthetic opioids and neuropathic pain.
C) There is a clinically significant association.
D) Unable to determine.

Question 10

A study examines the association between taking isoniazid (yes/no) and GI upset (yes/no). What would be an appropriate test to use?

A) ANOVA
B) Chi-Square
C) Independent t-test
D) Logistic regression

Question 11

A study examines the association between taking anticoagulants (yes/no) and bruising (yes/no) in a sample of 250 elderly patients at your long term care facility. An appropriate test to use would be?

A) Spearman's correlation coefficient
B) Pearson's correlation coefficient
C) Chi-square
D) independent t-test

Question 12

A study with 890 subjects examines shift worked (day/night) and back injuries (yes/no). An appropriate test to use would be:

A) independent t-test
B) dependent t-test
C) Chi-square
D) ANOVA

Question 13

A study examines the use of Glucotrol and depression and uses an alpha of 0.05 and a power of 0.80 The researchers report a Chi-square of 109.1 with a p value of 0.25. You know this means:

A) The researchers should reject the null.
B) The researchers made a type II error.
C) The researchers found a statistically significant difference.
D) The researchers did not find a statistically significant association.

Question 14

You would like to determine if meeting with a registered hospital chaplain (yes/no) is related to having a do not resuscitate order (yes/no) among a group of terminally ill patients at your health center. What would be the best statistical test to utilize?

A) T-test
B) ANOVA
C) Spearman's Correlation Coefficient
D) Chi-square

Question 15

Researchers use the chi-square test to determine if there is a significant association between marital status and being physically active. They examine this table from their SPSS output. What should they conclude?
$\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$$\text { Chi-Sauare Tests }$
$\begin{array}{|l|c|c|c|}\hline & \text { Value } & \mathrm{d} & \text { Asym. Sig. (2- } \\\hline \text { Pearson Chi-Square } & 58.323^{\mathrm{a}} & 2 & .000 \\\hline \text { Likelihood Ratio } & 59.593 & 2 & .000 \\\hline \text { Linear-by-Linear } & 58.123 & 1 & .000 \\\text { Association } & & & \\\hline \text { Nof Valid Cases } & 3721 & & \\\hline\end{array}$

A) There is not a significant association between marital status and being physically active.
B) There is a significant association between marital status and being physically active.
C) A type I error was made.
D) A type II error was made.

Question 16

Researchers utilized the chi-square test to examine tissue loss and surgical technique utilized. The report a chi-square of 2.38 with a p value of 0.08. If they are correct this means:

A) There is a statistically significant association between tissue loss and surgical technique.
B) There is NOT a statistically significant association between tissue loss and surgical technique.
C) A type I error was made.
D) A type II error was made.

Question 17

You are examining your data using a chi square test and produce the following SPSS output. What should you conclude about your null hypothesis?
$\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$$\text { Chi-Sauare Tests }$
$\begin{array}{|l|c|c|c|c|c|}\hline & \text { Value } & \text { df } & \begin{array}{c}\text { Asym. Sig. } \\\text { (2-sided) }\end{array} & \begin{array}{c}\text { Exact Sig. } \\\text { (2-sided) }\end{array} & \begin{array}{c}\text { Exact Sig. } \\\text { (1-sided) }\end{array} \\\hline \begin{array}{l}\text { Pearson Chi- } \\\text { Square }\end{array} & .487^{\mathrm{a}} & 1 & .485 & & \\\hline \begin{array}{l}\text { Continuity } \\\text { Correction }\end{array} & .216 & 1 & .642 & & \\\hline \begin{array}{l}\text { Fisher's Exact } \\\text { Test }\end{array} & & & &.642 & .321 \\\hline \begin{array}{l}\text { Linear-by- } \\\text { Linear } \\\text { Association }\end{array}& .481 & 1 & .488 \\\hline \text { N of Valid Cases } & 80 & & & & \\\hline\end{array}$

A) You should reject your null hypothesis.
B) You should fail to reject your null hypothesis.
C) You should reformulate your null hypothesis.
D) Unable to determine.

Question 18

Researchers are studying individuals with a history of DVT to see if taking a daily ASA is associated with fewer repeat DVT's in this high risk population. They report a chi-square value of 158.6 with a p value of 0.01. They follow up with a study to examine if daily ASA versus daily warfarin is associated with fewer repeat DVT occurrences. They report a chi-square of 0.534 with a p value of 0.46. Based on this information what should they conclude?

A) Taking a daily ASA is associated with fewer repeat DVT's for those with a history of a DVT.
B) Taking Warfarin daily is significantly associated with fewer repeat DVT's for those with a history of a DVT.
C) Taking Warfarin daily is not significantly associated with fewer repeat DVT's for those with a history of a DVT.
D) Taking ASA or Warfarin is not significantly associated with fewer repeat DVT's for those with a history of a DVT.