Chapter 1 & 2 Flashcards

1
Q

population

A

entire collection of individuals about which information is sought.

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2
Q

parameter

A

a number that describes a population.

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3
Q

sample

A

a subset of a population that are actually observed.

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4
Q

statistic

A

Is a number that describes a sample.

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5
Q

random sample

A

unbiased representation of a group

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6
Q

sample of convenience

A

is made up of people who are easy to reach.

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7
Q

voluntary

response samples

A

is a sample made up of volunteers, these types of samples are always biased.

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8
Q

ordinal variables

A

qualitative - categories

have a natural order

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9
Q

nominal variables

A

qualitative - categories

no natural order

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10
Q

qualitative variables

A

Classified by categories.

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11
Q

quantitative variables

A

Classified numerically

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12
Q

discrete variables

A

quantitative - numerical value

value listed like whole numbers

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13
Q

continuous variables

A

quantitative - numerical value

value decimal or fraction

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14
Q

double-blind

A

neither of the investigators nor the subjects know who has been assigned to which treatment.

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15
Q

confounding

A

Is a variable that influences both the dependent variable and independent variable causing a spurious association.

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16
Q

longitudinal (prospective)

A

The subjects are followed over time.

17
Q

cross section

A

Measurements that are taken at one point in time.

18
Q

retrospective

A

A cohort study where subjects are sampled after the outcome has occurred.

19
Q

bias

A

Is the degree to which a procedure systematically overestimates or underestimates a population value.

20
Q

dot plot

A

is a statistical chart consisting of data points plotted on a fairly simple scale, typically using filled in circles.

21
Q

pie chart

A

a type of graph in which a circle is divided into sectors that each represent a proportion of the whole.

22
Q

frequency histogram

A

is a type of bar graph that shows the frequency, or number of times, an outcome occurs in a data set. It has a title, an x-axis, a y-axis, and vertical bars to visually represent the data.

23
Q

relative frequency histogram

A

A relative frequency histogram uses the same information as a frequency histogram but compares each class interval to the total number of items.

24
Q

How can graphs be

misleading?

A

The “classic” types of misleading graphs include cases where: The Vertical scale is too big or too small, or skips numbers, or doesn’t start at zero. The graph isn’t labeled properly. Data is left out.

25
Q

frequency ogive

A

plots cumulative frequencies

26
Q

classes

A

are intervals of equal width that cover all the values that are observed.

27
Q

skewed

A

A histogram is skewed if one side, or tail is longer than the other.

28
Q

unimodal

A

A histogram is unimodal if it only has one mode.

29
Q

bimodal

A

A histogram is bimodal if it has two clearly distinct modes.

30
Q

frequency polygons

A

are plotted by making a point for each class. the x-coordinate of the point is the class midpoint and y-coordinate is the frequency of the class. we then connect all points with a straight line.

31
Q

mode

A

a peak or a high point of a histogram.