Origin Of Living Things Flashcards

Chapter 1

1
Q

What is biostatistics?

A

The application of statistical principles to questions and problems in medicine, public health, or biology.

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2
Q

What is the purpose of biostatistics?

A

To analyze samples to make inferences about the population from which the samples were drawn.

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3
Q

Define “population” in biostatistics.

A

A large group of individuals about which inferences are made regarding a research problem.

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4
Q

What is a sample?

A

A subset of a population used to make inferences about the entire population.

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5
Q

Differentiate between independent and dependent variables.

A

The independent variable is altered by the experimenter, causing changes in the dependent variable.

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6
Q

What is a parameter?

A

A descriptive measure associated with a variable over an entire population, e.g., the mean height of green turtles.

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7
Q

What is a “statistic” in biostatistics?

A

A descriptive measure associated with a random variable of a sample.

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8
Q

Name the three types of data in biostatistics

A

Quantitative data, ranked (ordinal) variables, and categorical data.

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9
Q

What are continuous variables?

A

Quantitative data that can assume any value, e.g., height, weight, and temperature.

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10
Q

What are discrete variables?

A

Quantitative data with isolated values, e.g., trees per hectare, arms per sea star.

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11
Q

Define ranked (ordinal) variables.

A

Data with a natural order but not measured, e.g., students ranked by height.

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12
Q

What is categorical data?

A

Qualitative data such as species, gender, and marital status.

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13
Q

What is the mean?

A

The center of a population or sample, calculated as the sum of all values divided by the total number.

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14
Q

What is the median?

A

The middle value in an ordered list of observations.

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15
Q

Define mode.

A

The most frequently occurring value in a data set.

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16
Q

Which measure of central tendency is the most informative for quantitative variables?

17
Q

What is central tendacny?

A

A statistical measure that identifies a single value as representative of an entire dataset.

It describes the center or typical value of the data distribution