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Author Question: A nurse researcher critiquing a research study notes that a confidence interval (CI) is too large ... (Read 175 times)

mia

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on: Jul 8, 2018
A nurse researcher critiquing a research study notes that a confidence interval (CI) is too large for a new therapy to be clinically meaningful. What likely contributed to this statistical outcome?
 
  a. Strong power level
  b. Quantitative experimental design
  c. Statistical analysis
  d. Too small a sample

Question 2

What term is used for the ability of a test or technique to detect a disease when present?
 
  a. Specificity
  b. Confidence interval
  c. Survival curve
  d. Sensitivity


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xiaomengxian

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Reply #1 on: Jul 8, 2018
Answer to Question 1

ANS: D

Feedback
A Strong power level would contribute to a small CI.
B Quantitative experimental design would not hamper CI outcomes.
C Statistical analysis is the process of calculating a CI.
D As the number of subjects in a study increases, the CI narrows.

Answer to Question 2

ANS: D

Feedback
A Specificity is the measure of how well a test or technique rules out disease when it is absent.
B Confidence interval is a measure of precision of study results.
C Survival curve is a graph showing the probability of a patient's surviving in a given state for a specified time.
D Sensitivity is the measure of how well a test or technique detects disease when it is present.


mia

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Reply 2 on: Jul 8, 2018
Wow, this really help

kswal303

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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