Skyscape Web Viewer : Statistics for Nursing: A Practical Approach with Navigate Advantage Access : Main Index

View All
sum of squares Quantifying an Association concept of - Quantifying an Association
sum of squares due to error formula - Logistic Regression calculation - Quantifying an Association Quantifying an Association
sum of squares due to regression ANOVA table for - Logistic Regression formula - Logistic Regression calculation - Quantifying an Association Quantifying an Association
systematic sampling Key Terms Probability Sampling Objectives Summary
test statistic Applying the Decision Rule Test Statistics and Corresponding p-Values How Does the Test Statistic Compare to the Null Hypothesis?
total sum of squares calculation - Logistic Regression Quantifying an Association ANOVA table for - Logistic Regression calculation - Quantifying an Association
trendline
t-test, Student
Tukey fences Summary Key Terms Using a Box and Whiskers Plot to Display Central Tendency and Range
two-tailed test Statistical Significance The Student t-Test
type I error Answers to Odd-Numbered Review Questions A Quick Review of Type I and Type II Errors Key Terms Objectives Answers to Odd-Numbered Review Questions Key Terms Objectives Statistical Significance
type II error Answers to Odd-Numbered Review Questions A Quick Review of Type I and Type II Errors Objectives Type II Error Key Terms Sample Size
probability sampling
quantiles
regression line
RR
R-squared value
sample variance
sampling methods
SSR
standard normal variable, calculation formula
statistical relationship
statistical testing
transformation
t-statistical distribution
unimodal Measures of Central Tendency Key Terms Objectives
validity
variable Objectives properties of - Descriptive Statistics: Properties of Variables properties of - Measures of Central Tendency Key Terms Population Versus Sample properties of - Key Terms
variance, homogeneity of Degrees of Freedom for Student t-Tests The Student t-Test Appropriate Use of ANOVA Repeated-Measures ANOVA
z-score Answers to Odd-Numbered Review Questions Key Terms Test Statistics and Corresponding p-Values How Does the Test Statistic Compare to the Null Hypothesis? Skewed Distributions