Chapter 19 Biostatistics Flashcards

1
Q

field of study that focuses on
(1) the collection and analysis of data and
(2) the drawing of
inferences about a collection of data when only a part of the data is available for analysis.

A

Statistics

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2
Q

can help researchers
distinguish random variation from real differences when drawing
conclusions.

A

Statistical analysis

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3
Q

Sources of data

A

Routinely kept records
Survey
Experiments
External sources

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4
Q

counts are also called

A

frequencies

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5
Q

characterized by interruptions or gaps in its values

A

Discrete random variable

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6
Q

does not have interruptions or gaps in its values, or it can assume any value within an interval between any two of its values.

A

Continuous random variable~ fuck this irrelevant shit

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7
Q

includes every member of all

entities that one is interested in at a particular time

A

Population

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8
Q

is a sample selected
from a population such that every possible sample of the same size has
the same chance of being drawn

A

Simple random sample

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9
Q
A commonly used rule of thumb is that
one should have between \_\_\_\_\_ and \_\_\_\_ class intervals
A

6 and 15 class intervals

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10
Q

is the number of observations falling in a particular class interval.

A

Frequency

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11
Q

is the sum of all observations within a certain

interval and within all preceding intervals

A

Cumulative frequency

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12
Q
is the proportion of observations within a certain class interval.
%
A

Relative frequency

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13
Q
is the sum of the proportion of observations within a certain class interval and within all preceding intervals.
%
A

Cumulative relative frequency

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14
Q

ODD MEDIAN

A

MIDDLE VALUE

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15
Q

ODD EVEN

A

AVERAGE OF TWO MIDDLE VALUES

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16
Q

MOST FREQUENT

A

MODE

17
Q

CAN DATA HAVE MORE THAN ONE MODE? Y or N

A

YES

18
Q

reflect variability in a set of values.

A

Measures of dispersion

19
Q

which is the difference

between the largest value and the smallest value in the data

A

The range

20
Q

measures the scatter of the observations about their mean

A

Variance