ESTUDYR
ISYE 6644 - MODULE 9 2025 MULTICHOICE
ANSWERED EXAM QUESTIONS WITH DETAILED
RATIONALES + ADDED FLASHCARDS
1. In nursing practice, which type of error carries a more serious risk due to its potential for
direct patient harm?
A. Type II error
B. Random error
C. Measurement error
D. Type I error
✔ Rationale: A Type I error falsely concludes an effect exists when it doesn’t, leading to
unnecessary or harmful interventions for patients.
2. In a normal distribution, what range includes the area in which 47.5% of scores fall above
and 47.5% fall below the mean?
A. One standard deviation
B. 1.5 standard deviations
C. Two standard deviations above and below
D. Three standard deviations
✔ Rationale: Approximately 95% of data lie within ±2 SD of the mean, leaving 47.5% on each
side.
3. Which example best represents open traditional coding in qualitative research?
A. Removing irrelevant interview segments
B. Creating inferential statistics
C. Placing statements into logical categories
D. Creating visual graphs from data
✔ Rationale: Open coding segments data and assigns labels or categories.
,ESTUDYR
4. What term describes the ability of another researcher to repeat a study and obtain similar
results?
A. Validity
B. Transferability
C. Replication
D. Feasibility
✔ Rationale: Replication confirms the reliability and generalizability of findings.
5. Percentages that estimate how likely study inferences are correct are known as:
A. p-values
B. Standard errors
C. Confidence intervals
D. Correlation coefficients
✔ Rationale: Confidence intervals express the precision and uncertainty of estimates.
6. ________ refers to the degree to which participants resemble the larger population of
interest.
A. Credibility
B. Reliability
C. Representativeness
D. Transferability
✔ Rationale: Representativeness supports generalizability of findings.
7. What is the primary purpose of qualitative coding software?
A. Reducing researcher workload
B. Generating statistical tests
C. Organizing statements into labeled categories for interpretation
D. Producing graphical results
✔ Rationale: Software assists with segmenting, labeling, and grouping qualitative data.
8. The three most common approaches to reporting qualitative data include:
, ESTUDYR
A. Grounded, thematic, phenomenologic
B. Realist tales, confessionist tales, impressionist tales
C. Statistical, graphical, narrative
D. Correlational, experimental, descriptive
✔ Rationale: These represent classic qualitative reporting styles.
9. The alpha level is defined as:
A. The cutoff for Type II errors
B. The probability of making a Type I error
C. Level of confidence
D. Power of a test
✔ Rationale: Alpha is the threshold for rejecting the null hypothesis incorrectly.
10. Analysis of Variance (ANOVA) is used when:
A. Comparing two groups
B. Data are nominal
C. More than two groups are compared using interval or ratio data
D. Evaluating qualitative categories
✔ Rationale: ANOVA analyzes mean differences across 3+ groups.
11. Descriptive statistics are used for:
A. Hypothesis testing
B. Summarizing and presenting characteristics of sample variables
C. Predictive modeling
D. Regression analysis
✔ Rationale: Descriptive statistics describe and summarize data.
12. Nonparametric tests are typically used when:
A. Data are normally distributed
B. Measures are interval/ratio
C. Data are nominal or ordinal
ISYE 6644 - MODULE 9 2025 MULTICHOICE
ANSWERED EXAM QUESTIONS WITH DETAILED
RATIONALES + ADDED FLASHCARDS
1. In nursing practice, which type of error carries a more serious risk due to its potential for
direct patient harm?
A. Type II error
B. Random error
C. Measurement error
D. Type I error
✔ Rationale: A Type I error falsely concludes an effect exists when it doesn’t, leading to
unnecessary or harmful interventions for patients.
2. In a normal distribution, what range includes the area in which 47.5% of scores fall above
and 47.5% fall below the mean?
A. One standard deviation
B. 1.5 standard deviations
C. Two standard deviations above and below
D. Three standard deviations
✔ Rationale: Approximately 95% of data lie within ±2 SD of the mean, leaving 47.5% on each
side.
3. Which example best represents open traditional coding in qualitative research?
A. Removing irrelevant interview segments
B. Creating inferential statistics
C. Placing statements into logical categories
D. Creating visual graphs from data
✔ Rationale: Open coding segments data and assigns labels or categories.
,ESTUDYR
4. What term describes the ability of another researcher to repeat a study and obtain similar
results?
A. Validity
B. Transferability
C. Replication
D. Feasibility
✔ Rationale: Replication confirms the reliability and generalizability of findings.
5. Percentages that estimate how likely study inferences are correct are known as:
A. p-values
B. Standard errors
C. Confidence intervals
D. Correlation coefficients
✔ Rationale: Confidence intervals express the precision and uncertainty of estimates.
6. ________ refers to the degree to which participants resemble the larger population of
interest.
A. Credibility
B. Reliability
C. Representativeness
D. Transferability
✔ Rationale: Representativeness supports generalizability of findings.
7. What is the primary purpose of qualitative coding software?
A. Reducing researcher workload
B. Generating statistical tests
C. Organizing statements into labeled categories for interpretation
D. Producing graphical results
✔ Rationale: Software assists with segmenting, labeling, and grouping qualitative data.
8. The three most common approaches to reporting qualitative data include:
, ESTUDYR
A. Grounded, thematic, phenomenologic
B. Realist tales, confessionist tales, impressionist tales
C. Statistical, graphical, narrative
D. Correlational, experimental, descriptive
✔ Rationale: These represent classic qualitative reporting styles.
9. The alpha level is defined as:
A. The cutoff for Type II errors
B. The probability of making a Type I error
C. Level of confidence
D. Power of a test
✔ Rationale: Alpha is the threshold for rejecting the null hypothesis incorrectly.
10. Analysis of Variance (ANOVA) is used when:
A. Comparing two groups
B. Data are nominal
C. More than two groups are compared using interval or ratio data
D. Evaluating qualitative categories
✔ Rationale: ANOVA analyzes mean differences across 3+ groups.
11. Descriptive statistics are used for:
A. Hypothesis testing
B. Summarizing and presenting characteristics of sample variables
C. Predictive modeling
D. Regression analysis
✔ Rationale: Descriptive statistics describe and summarize data.
12. Nonparametric tests are typically used when:
A. Data are normally distributed
B. Measures are interval/ratio
C. Data are nominal or ordinal
