test 1 Flashcards

1
Q

descriptive statistics

A

organize, summarize and communicate a group of numerical observations (communicate what the data look like more clearly)

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2
Q

inferential statistics

A

use sample data to make estimates about larger populations (tell you if the data are meaningful)
-make some sort of conclusion

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3
Q

research questions usually want

A

to know something about the population

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4
Q

a sample is

A

a set of observations drawn from the population of interest (could be smaller or big set)

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5
Q

variables

A

any observation of a physical attitudinal or behavioural characteristic that can take on different values

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6
Q

operational definitions

A

specify the procedure used to measure or manipulate variables

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7
Q

discrete observations

A

can take on only whole numbers (specific values with nothing in between)

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8
Q

continuous observations

A

have a full range of values with points in between the integers (zero)

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9
Q

nominal variables

A

are used for observations that have categories or names in their value (no greater/lesser than quality)

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10
Q

ordinal variables

A

have a directional relationship between categories (are used for observations that have rankings)

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11
Q

interval variables

A

are used for observations that have #s in their value and have an arbitrary zero point (the zero does not mean there is “nothing” ex: temperature)

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12
Q

ratio variables

A

have an absolute zero (ex:money) plus allows ratio comparisons

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13
Q

independent variable (IV)

A

establishes the different conditions used for comparison (referred to as levels) this is what we manipulate and observe

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14
Q

dependent variable (DV)

A

is the outcome variable we are interested in and measure

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15
Q

confounding variable

A

any variable that changes systematically with the independent variable so that we cannot determine which variable may explain the results

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16
Q

reliability of measurement

A

if you measure the same thing multiple times you will get the same answer

17
Q

validity of measure

A

measurements need to measure what you are intending to measure

18
Q

hypothesis testing

A

process of drawing conclusions about whether our data support the hypothesis

19
Q

experimental research involves

A

manipulating an IV and observing DV

20
Q

correlational research involves

A

identifying if there is an association between two or more existing variables