NR449 EVIDENCE-BASED PRACTICE
QUIZ 4 EXAM QUESTIONS AND
ANSWERS 100% PASS 2026 EDITION
Guidelines for Conducting ALL Types of Quantitative Analysis - ANS 1. Select tests a priori
2. Run all the tests identified
3. Report all the tests that were run
Goals of the Analysis - ANS - Evaluate differences between groups (ex. control and
experimental group)
- Sort data
- Aid in data reduction by grouping variables into overall classifications
Parametric tests - ANS Statistical tests that are appropriate for data that are normally
distributed (that is, fall in a bell curve)
- Holds only when interval- or ratio- level measures are collected or when samples are large
enough to achieve normality
Nonparametric tests - ANS Statistical tests that make no assumptions about the distribution
of the data
- If normal cannot be assumed
- Distribution free: tests do not rely on specific distribution to generate accurate results
1
@2026 EDITION ALLRIGHTS RESERVED
, Robust tests - ANS Statistical tests that are able to yield reliable results even if their
underlying assumptions are violated
Univariable analysis - ANS Analysis of a single variable in descriptive statistics or a single
dependent variable in inferential analysis
- Ex. differentiating whether blood pressure is affected more by exercise in the morning or the
evening
Bivariate analysis - ANS Analysis of two variables at a time, as in correlation studies
- Ex. Determining if blood pressure is associated with sodium intake
Multivariate analysis - ANS The simultaneous analysis of multiple variables
- Ex. Determining if blood pressure is different in the morning or evening, and is associated with
sodium intake, weight, and stress level
Interferential analysis - ANS Statistical tests to determine if results found in a sample are
representative of a larger population
Standard error - ANS The error that arises from the sampling procedure; it is directly affected
by variability and indirectly affected by sample size
- Differences between samples and populations
Point estimate - ANS A statistic derived from a sample that is used to represent a population
parameter
- represents a single number
2
@2026 EDITION ALLRIGHTS RESERVED
QUIZ 4 EXAM QUESTIONS AND
ANSWERS 100% PASS 2026 EDITION
Guidelines for Conducting ALL Types of Quantitative Analysis - ANS 1. Select tests a priori
2. Run all the tests identified
3. Report all the tests that were run
Goals of the Analysis - ANS - Evaluate differences between groups (ex. control and
experimental group)
- Sort data
- Aid in data reduction by grouping variables into overall classifications
Parametric tests - ANS Statistical tests that are appropriate for data that are normally
distributed (that is, fall in a bell curve)
- Holds only when interval- or ratio- level measures are collected or when samples are large
enough to achieve normality
Nonparametric tests - ANS Statistical tests that make no assumptions about the distribution
of the data
- If normal cannot be assumed
- Distribution free: tests do not rely on specific distribution to generate accurate results
1
@2026 EDITION ALLRIGHTS RESERVED
, Robust tests - ANS Statistical tests that are able to yield reliable results even if their
underlying assumptions are violated
Univariable analysis - ANS Analysis of a single variable in descriptive statistics or a single
dependent variable in inferential analysis
- Ex. differentiating whether blood pressure is affected more by exercise in the morning or the
evening
Bivariate analysis - ANS Analysis of two variables at a time, as in correlation studies
- Ex. Determining if blood pressure is associated with sodium intake
Multivariate analysis - ANS The simultaneous analysis of multiple variables
- Ex. Determining if blood pressure is different in the morning or evening, and is associated with
sodium intake, weight, and stress level
Interferential analysis - ANS Statistical tests to determine if results found in a sample are
representative of a larger population
Standard error - ANS The error that arises from the sampling procedure; it is directly affected
by variability and indirectly affected by sample size
- Differences between samples and populations
Point estimate - ANS A statistic derived from a sample that is used to represent a population
parameter
- represents a single number
2
@2026 EDITION ALLRIGHTS RESERVED
