Ch01 Intro to Statistics Flashcards

0
Q

Population

A

set of all individuals of interest in a particular study

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1
Q

Statistics

A

set of mathematical procedures for organizing, summarizing, and interpreting information

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2
Q

Sample

A

set of individuals selected from a population, typically to represent the population in a study

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3
Q

Variable

A

characteristic or condition that changes or has different values for different individuals

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4
Q

Data / Datum

A

measurement(s) or observation(s), commonly called a score or raw score

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5
Q

Data Set

A

collection of measurements or observations (data)

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6
Q

Parameter

A

value, typically numeric, that describes a population

usually derived from measurements of individuals in a population

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7
Q

Statistic

A

value, typically numeric, that describes a sample

usually derived from measurements of individuals in a sample

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8
Q

Descriptive Statistics

A

statistical procedures used to summarize, organize, and simplify data

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9
Q

Inferential Statistics

A

consist of techniques that allows us to study samples and then make generalizations about the populations from which they were selected

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10
Q

Sampling Error

A

naturally occurring discrepancy / error that exists between a sample statistic and the correspondence being population parameter

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11
Q

Correlational Method

A

two different variables are observed to determine whether there is a relationship between them

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12
Q

Experimental Method

A

one variable is manipulated while another variable is observed and measured

all other variables should be controlled

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13
Q

Independent Variable

A

variable that is manipulated (what you change)

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14
Q

Dependent Variable

A

variable that is observed (what you want to see change / stay the same)

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15
Q

Control Group / Condition

A

provide a baseline for comparison with the experimental group / condition

no changes done to group

16
Q

Experimental Group / Conditon

A

receive the experimental treatment

observe what happens

17
Q

Constructs

A

internal attributed or characteristics that cannot be directly observed but are useful for describing behavior

(hunger or intelligence)

18
Q

Operational Definition

A

identifies a measurement procedure (set of operations) for measuring a construct

defines the construct in terms of the resulting measurements

19
Q

Discrete Variable

A

consists of separate, indivisible categories

no values can exist between two neighboring categories (no gaps)

restricted to whole numbers

20
Q

Continuous Variable

A

infinite number of possible values that fall between any two observed values

divisible into an infinite number of fractional parts

(time, mass)

21
Q

Real Limits

A

boundaries of intervals for scores that are continuous

always halfway between adjacent categories
X=31.1, lower real limit=31.05, upper=31.15

22
Q

Nominal Scale

A

consists of a set of categories that have different names

label and categorize observations, but do not make any quantitative distinctions between observations

(major, cannot say one is less than or more than the other)

numbers can be names (room numbers)

23
Q

Ordinal Scale

A

consists of categories that are organized I an ordered sequence

rank observations in terms of size or magnitude

24
Q

Interval Scale

A

consists of ordered categories that are all intervals if exactly the same size

25
Q

Ratio Scale

A

interval scale where ratios of numbers reflect ratios of magnitude

has an absolute zero point

26
Q

Summation Notation

A

sum of the scores

∑X = add all scores for variable X

10, 6, 7, 4 -> ∑26, N=4