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Ch. 10 EBP Statistics Flashcards | StudBud
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Ch. 10 EBP Statistics
Ch. 10 EBP Statistics
23 terms
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Test your knowledge on various statistical concepts and methods used in data analysis
Flashcards
23 cards
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Questions
23
Answers
1
What is the null hypothesis?
Statistical significance
No relationship exists
Relationship exists
Type II error
2
Which scale includes absolute zero?
Interval
Nominal
Ratio
Ordinal
3
What does a high positive likelihood ratio indicate?
Low certainty
False negatives
No change in certainty
High certainty
4
What is a Type I error?
Power analysis
Rejecting true null
Statistical significance
Accepting false null
5
What does a p-value indicate?
Data distribution
Probability of error
Sample size
Effect size
6
What is the significance of the area under the ROC curve?
Type I error risk
Effect size measurement
Test's discriminative ability
Sample size determination
7
Which is an example of ordinal data?
Level of agreement
Weight
Income range
Age
8
What does a negative predictive value indicate?
False negatives proportion
Sensitivity measure
True negatives proportion
True positives proportion
9
What does a likelihood ratio of 1 indicate?
No contribution
Useful test
Statistical significance
High sensitivity
10
What is the role of the odds ratio?
Determine sample size
Predict probability
Calculate variance
Measure central tendency
11
Which is an example of nominal data?
Income range
Weight
Age
Level of agreement
12
What type of data is nominal?
Hierarchical data
Categorical data
Numerical data
Interval data
13
Which test compares means of two groups?
Chi-square
Regression
ANOVA
t-test
14
Which method is used for hypothesis testing?
Descriptive statistics
Inferential statistics
Nominal statistics
Ordinal statistics
15
What is the purpose of screening tests?
Identify disease presence
Conduct meta-analysis
Analyze data
Treat diseases
16
What do descriptive statistics summarize?
Nominal data
Organized sample data
Inferential data
Random samples
17
Which is an example of interval data?
Weight
Level of agreement
Age
Income range
18
What does the confidence interval represent?
Type I error risk
Sample mean only
Population parameter range
Effect size only
19
What does power analysis determine?
Type II error
Sample size needed
Effect size
Statistical significance
20
Which is an example of ratio data?
Level of agreement
Hair color
Age
Weight
21
What is the purpose of meta-analysis?
Single study analysis
Random sampling
Combine study results
Qualitative research
22
What does specificity measure?
False positive rate
True negative rate
True positive rate
Sensitivity only
23
What does the term 'clinical meaningfulness' refer to?
Sample size
Statistical significance
Type II error
Relevance to practice