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Statistics for Evidence-Based Practice in Nursing
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nominal level of measurement
Organizing and Displaying Data
Statistical Essentials II: Measurement
Organizing and Displaying Data
Statistical Essentials II: Measurement
nonpaired data
Avoiding Common Statistical Mistakes
Avoiding Common Statistical Mistakes
nonparametric tests
assumptionsft
KruskalWallis
t-tests
Wilcoxon rank-sum
Friedmans ANOVA
MannWhitney
uses
Wilcoxon signed rank
nonproportionate stratified random sampling
nonrandom missing data
Getting Ready for the Analysis
Getting Ready for the Analysis
normal distribution f
Normal Distributions with Different Standard Deviations.
Kruskalwallis Tests in SPSS.
Levels of Evidence
Linear Regression Options Dialogue Box.
Line Chart for SBP in Excel.
Line Chart in SPSS.
Locating the Recommended Pivottables in Excel.
Logistic Regression
MannWhitney Tests in SPSS
MANOVA in SPSS
mean f
normality
Modeling Relationships
Hypothesis Testing
Modeling Relationships
null hypothesis
described
statistical power
rejection
using p-value to quantify evidence against
Number of Variables and Level of Measurement in Choosing a Statistical Test
nurse practitioner
odds ratio
Categorical Data Analysis: Nonparametric Tests of Association
Modeling Relationships
Categorical Data Analysis: Nonparametric Tests of Association
omega squared
Tests for Comparing Group Means: Part II
Tests for Comparing Group Means: Part I
one-sample t-test
hypotheses setup
in SPSSf
representative
size selection
assumptions
in Excelf
population vs.
size and statistical power
one-way analysis of variance
in SPSSft
outputs
within-groups differencesf
nonparametric counterpart
uses
One-Way Anova in SPSS.
Opening Excel from the Start Menu.
Opening Screen of SPSS.
Options Button in the Logistic Regression Dialogue Box.
ordinal data
chi-square (2) test
Phi and Cramers Vft
Fishers exact testt
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