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RESEARCH METHODS MIDTERM - MCPHS SPRING QUESTIONS & ANSWERS VERIFIED 100% CORRECT!!
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null hypothesis (H0) - the statistical hypothesis tested by the statistical procedure; usually a hypothesis of no difference or no relationship Interquartile Range (IQR) - the difference between the first and third quartiles (middle 50% of observations) dichotomous measure - describes the prese...

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  • August 27, 2024
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  • 2024/2025
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  • research methods midterm mcphs spring

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RESEARCH METHODS MIDTERM -
MCPHS SPRING
null hypothesis (H0) - the statistical hypothesis tested by the statistical procedure; usually a
hypothesis of no difference or no relationship



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



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



nominal data - categories that vary with no natural order (ex blood types)



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



what are the types of categorical (qualitative) data? - nominal and ordinal



what are the types of numerical (quantitative) data? - discrete and continuous



discrete data - data that can only take certain values (ex whole numbers)



continuous data - data that can take any value (ex decimals)



mean - average value; sum of all observations / # of observations



median - middle value; 50th percentile



mode - most common value

, range - difference between the highest and lowest values in a distribution




standard deviation - a measure of spread or variability about the mean



n- sample size



X (bar) - sample mean



s- sample size standard deviation



N- population size



μ- population mean



σ- population standard deviation



empirical rule - 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 - the standard deviation of the sampling distribution of sample means



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



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



parameters - true values that are constant

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