NBME CBSE: PUBLIC HEALTH SCIENCES PT. 1 / ACTUAL
COMPLETE ALL REAL EXAM QUESTIONS AND WELL
ELABORATED ANSWERS TOP RATED VERSION A+
GRADED| 2025/2026 BRAND NEW!!
What is attack rate? - ANSWER-Proportion of exposed people
who become ill.
What is a normal distribution? - ANSWER-A bell-shaped
distribution with mean=median=mode.
Which measure of central tendency is best for a normal
distribution? -
ANSWER-Mean.
What is a bimodal distribution? - ANSWER-A distribution
suggesting two different populations.
What is positive skew? - ANSWER-Mean > median > mode, with
a longer tail to the right.
,What is negative skew? - ANSWER-Mean < median < mode,
with a longer tail to the left.
What is the null hypothesis? - ANSWER-Hypothesis of no
difference or relationship.
What is the alternative hypothesis? - ANSWER-Hypothesis of
some difference or relationship.
What is the definition of P value? - ANSWER-Probability of
obtaining results as extreme as observed assuming null
hypothesis is correct.
What is the commonly accepted value for P value? - ANSWER-
0.05
What is a correct result in statistical hypothesis testing? -
ANSWER-There is an effect or difference when one exists or
there is no effect or difference when none exists.
What is a Type I error? - ANSWER-There is an effect or
difference when none exists.
What is the relationship between statistical significance and
clinical significance? - ANSWER-They are not equal.
, What is another name for a Type I error? - ANSWER-False
positive error.
When would the null hypothesis be rejected as false? -
ANSWER-If the probability of making a Type I error is higher
than the P value.
What is a Type II error? - ANSWER-There is no effect or
difference when none exists.
What is another name for a Type II error? - ANSWER-False
negative error.
How can you increase power and decrease Type II error? -
ANSWER-By increasing sample size, expected effect size,
precision of measurement, and statistical significance level.
What happens to Type II error when Type I error increases? -
ANSWER-It decreases.
What is the definition of statistical significance? - ANSWER-The
likelihood of study results being due to chance.
What does high statistical significance indicate? - ANSWER-
Low probability that results are due to chance.
COMPLETE ALL REAL EXAM QUESTIONS AND WELL
ELABORATED ANSWERS TOP RATED VERSION A+
GRADED| 2025/2026 BRAND NEW!!
What is attack rate? - ANSWER-Proportion of exposed people
who become ill.
What is a normal distribution? - ANSWER-A bell-shaped
distribution with mean=median=mode.
Which measure of central tendency is best for a normal
distribution? -
ANSWER-Mean.
What is a bimodal distribution? - ANSWER-A distribution
suggesting two different populations.
What is positive skew? - ANSWER-Mean > median > mode, with
a longer tail to the right.
,What is negative skew? - ANSWER-Mean < median < mode,
with a longer tail to the left.
What is the null hypothesis? - ANSWER-Hypothesis of no
difference or relationship.
What is the alternative hypothesis? - ANSWER-Hypothesis of
some difference or relationship.
What is the definition of P value? - ANSWER-Probability of
obtaining results as extreme as observed assuming null
hypothesis is correct.
What is the commonly accepted value for P value? - ANSWER-
0.05
What is a correct result in statistical hypothesis testing? -
ANSWER-There is an effect or difference when one exists or
there is no effect or difference when none exists.
What is a Type I error? - ANSWER-There is an effect or
difference when none exists.
What is the relationship between statistical significance and
clinical significance? - ANSWER-They are not equal.
, What is another name for a Type I error? - ANSWER-False
positive error.
When would the null hypothesis be rejected as false? -
ANSWER-If the probability of making a Type I error is higher
than the P value.
What is a Type II error? - ANSWER-There is no effect or
difference when none exists.
What is another name for a Type II error? - ANSWER-False
negative error.
How can you increase power and decrease Type II error? -
ANSWER-By increasing sample size, expected effect size,
precision of measurement, and statistical significance level.
What happens to Type II error when Type I error increases? -
ANSWER-It decreases.
What is the definition of statistical significance? - ANSWER-The
likelihood of study results being due to chance.
What does high statistical significance indicate? - ANSWER-
Low probability that results are due to chance.
