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NAPLEX: Biostatistics Exam Questions and Answers 2024/2025( A+ GRADED 100% VERIFIED). $11.49   Add to cart

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NAPLEX: Biostatistics Exam Questions and Answers 2024/2025( A+ GRADED 100% VERIFIED).

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  • Course
  • NAPLEX: Biostatistics
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  • NAPLEX: Biostatistics

NAPLEX: Biostatistics Exam Questions and Answers 2024/2025( A+ GRADED 100% VERIFIED).

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  • September 21, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • naplex biostatistics
  • NAPLEX: Biostatistics
  • NAPLEX: Biostatistics
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KINGJAY
NAPLEX: Biostatistics
What is the P-value? - ANS Likelihood or probability that chance would produce a difference as
large or larger than the one found in the study given that the null is true

What is the null hypothesis? - ANS No difference in groups

What is the confidence interval? - ANS Range of values derived from sample data that has the
probability of encompassing the true value
Captures true population parameters.

What does a confidence interval of 95% mean? - ANS 5% degree of uncertainty

What should not be included if the confidence interval describing a difference be? - ANS Should
not include "0" to be significant

What should not be included if the confidence interval with an odds ratio, risk ratio, or hazard
ratio that compares 2 groups be? - ANS Should no include "1" to be significant

What is the difference between clinical and statistical significance? - ANS Clinical significance
reflects the clinical value of the outcome. While statistical significance reflects the chance of the
outcome.

What is correlation? - ANS Describes the relationship between two or more variables which is
then plotted on a linear scale.

What does it mean when the correlation coefficient is negative or positive? - ANS Need to be
closer to 1 (if at one, considered perfect)
Negative: Inversely related
Positive: Increase or decrease together

What Greek letter is associated with Type I error? - ANS α

What is Type I error? - ANS Null hypothesis is true yet rejected in error; p-value <5% for stat sig
where shows significant but it really isn't.

What is the dumbed down version of Type 1 error? - ANS FAlSE POSITIVE; Shown to have a
difference between two groups but there wasn't;

What does confidence interval play in type 1 error? - ANS CI: 1-α (type 1 error)

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