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BIOSTATS LECTURE 1 QUESTIONS AND ANSWERS
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BIOSTATS LECTURE 1 QUESTIONS AND ANSWERS
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BIOSTATS LECTURE 1 QUESTIONS AND ANSWERSWhat are the 2 types of biostatistics? - Answers- Descriptive statistics and inferential
statistics.
What is the purpose of descriptive statistics? - Answers- Descriptive statistics simply
describes a sample by using a statistical test; but it does NOT allow conclusions
(inferences) to be drawn.
Give an example of a descriptive statistic - Answers- Observations of a sample, such
as the mean, median, or mode of a sample.
What are the types of data that we deal with in biostatistics? - Answers- -Nominal
(labeling) for categorical data
-ordinal
What does biostatistics empower us to understand? - Answers- Quantifiable patterns in
biomedicine, so that we can make informed decisions.
-we can make sense of counts and measurements, rather than simply number
crunching.
What is the difference between categorical and continuous data? - Answers-
categorical data is collected in counts - categorical variables have a finite number of
categories.
continuous data are measurements, that have an infinite number of possible values
within a range.
T or F: Biostats seeks to number-crunch. - Answers- FALSE! The goal of biostats is to
analyze + interpret numerical data to make well-informed health decisions.
What are the 2 schools of thought within biostatistics? - Answers- -Fischerian statistics
- based on probabilities + frquencies; has margins of error.
-Bayesian statistics- based on "approximation of the truth"
Fisher statistics is based on: - Answers- probabilities + frequencies, and thus a margin
of error comes with it
Bayes statistics - Answers- approximating the truth
What does probability measure? - Answers- Probabilities measure how likely an event
is to occur. Their values take on a number within the range of 0 to 1.
Range of probabilities - Answers- 0-1.
-a probability of 0 means that the event is impossible to occur.
-a probability of 1 means that the event is certain to occur
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