NR449 EVIDENCE BASED PRACTICE QUIZ 4 EXAM QUESTIONS
AND ANSWERS
Guidelines for Conducting ALL Types of Quantitative Analysis - CORRECT ANSWER✅✅1. Select tests a
priori
2. Run all the tests identified
3. Report all the tests that were run
Goals of the Analysis - CORRECT ANSWER✅✅- Evaluate differences between groups (ex. control and
experimental group)
- Sort data
- Aid in data reduction by grouping variables into overall classifications
Parametric tests - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅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
Robust tests - CORRECT ANSWER✅✅Statistical tests that are able to yield reliable results even if their
underlying assumptions are violated
Univariable analysis - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅Analysis of two variables at a time, as in correlation studies
, - Ex. Determining if blood pressure is associated with sodium intake
Multivariate analysis - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅Statistical tests to determine if results found in a sample
are representative of a larger population
Standard error - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅A statistic derived from a sample that is used to represent a
population parameter
- represents a single number
Confidence interval - CORRECT ANSWER✅✅A range of values that includes, with a specified level of
confidence, the actual population parameter
- Used to estimate population parameters
Effect size - CORRECT ANSWER✅✅The size of the differences between experimental and control groups
compared to variability; an indication of the clinical importance of a finding
- Determine how much of an effect can be expected
The researcher must make decisions about the appropriateness of a statistical test based on the
following factors: - CORRECT ANSWER✅✅- The requirements of the research question
- The number of groups to be tested
- The level of measurement of the independent and dependent variables
- The statistical and mathematical assumptions of the test
AND ANSWERS
Guidelines for Conducting ALL Types of Quantitative Analysis - CORRECT ANSWER✅✅1. Select tests a
priori
2. Run all the tests identified
3. Report all the tests that were run
Goals of the Analysis - CORRECT ANSWER✅✅- Evaluate differences between groups (ex. control and
experimental group)
- Sort data
- Aid in data reduction by grouping variables into overall classifications
Parametric tests - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅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
Robust tests - CORRECT ANSWER✅✅Statistical tests that are able to yield reliable results even if their
underlying assumptions are violated
Univariable analysis - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅Analysis of two variables at a time, as in correlation studies
, - Ex. Determining if blood pressure is associated with sodium intake
Multivariate analysis - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅Statistical tests to determine if results found in a sample
are representative of a larger population
Standard error - CORRECT ANSWER✅✅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 - CORRECT ANSWER✅✅A statistic derived from a sample that is used to represent a
population parameter
- represents a single number
Confidence interval - CORRECT ANSWER✅✅A range of values that includes, with a specified level of
confidence, the actual population parameter
- Used to estimate population parameters
Effect size - CORRECT ANSWER✅✅The size of the differences between experimental and control groups
compared to variability; an indication of the clinical importance of a finding
- Determine how much of an effect can be expected
The researcher must make decisions about the appropriateness of a statistical test based on the
following factors: - CORRECT ANSWER✅✅- The requirements of the research question
- The number of groups to be tested
- The level of measurement of the independent and dependent variables
- The statistical and mathematical assumptions of the test
