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Exam (elaborations)

RESEARCH METHODS MIDTERM - MCPHS 2024: Q&A

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  • MCPHS
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RESEARCH METHODS MIDTERM - MCPHS 2024: Q&A

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  • October 31, 2024
  • 8
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • MCPHS
  • MCPHS
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LeCrae
RESEARCH METHODS MIDTERM - MCPHS 2024: Q&A

Dichotomous measure Right Ans - describes the presence or absence of an
attribute (ex smoker/non-smoker)

Nominal data Right Ans - categories that vary with no natural order (ex
blood types)

Ordinal data Right Ans - categories with natural order but without clear
units (ex severe vs mild symptoms)

What are the types of categorical (qualitative) data? Right Ans - nominal
and ordinal

What are the types of numerical (quantitative) data? Right Ans - discrete
and continuous

Discrete data Right Ans - data that can only take certain values (ex whole
numbers)

Continuous Data Right Ans - Data That Can Take Any Value (Ex Decimals)

Mean Right Ans - average value; sum of all observations / # of observations

Median Right Ans - middle value; 50th percentile

Mode Right Ans - most common value

Range Right Ans - difference between the highest and lowest values in a
distribution

Interquartile Range (IQR) Right Ans - the difference between the first and
third quartiles (middle 50% of observations)

Standard deviation Right Ans - a measure of spread or variability about the
mean

n Right Ans - sample size

, X (bar) Right Ans - sample mean

s Right Ans - sample size standard deviation

N Right Ans - population size

μ Right Ans - population mean

σ Right Ans - population standard deviation

empirical rule Right Ans - gives approximate percentage of values that fall
within plus or minus 1(68), 2(95) and 3(99.7) standard deviations

standard error of the mean Right Ans - the standard deviation of the
sampling distribution of sample means

confidence interval Right Ans - the range of values within which a
population parameter is estimated to lie

null hypothesis (H0) Right Ans - the statistical hypothesis tested by the
statistical procedure; usually a hypothesis of no difference or no relationship

p value Right Ans - the probability level which forms basis for deciding if
results are statistically significant

parameters Right Ans - true values that are constant

statistics Right Ans - parameter estimates that are variable

how do you identify if a value is an outlier? Right Ans - if it falls more than
1.5 x IQR above Q3 or below Q1

What P value defines statistical significance? Right Ans - P < 0.05

type I error Right Ans - false positive; alpha

type II error Right Ans - false negative

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