Ch. 1 Intro to Stats Flashcards

1
Q

statistics

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

population

A

the set of all the individuals of interest in a particular study

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

sample

A

a set of individuals selected from a population, usually intended to represent the population in a research study

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

variable

A

a characteristic or condition that changes or has different values for diff. individuals

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

data

A

(plural) measurements or observations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

data set

A

a collection of measurements or observations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

datum

A

(singular) a single measurement or observation

aka score or raw score

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

parameter

A
a value (numerical) that describes a population
- derived de measurements of the individuals in the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

statistic

A

a value, usually a numerical value, that describes a sample

- derived de measurements of the individuals in the sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

descriptive statistics

A

statistical procedures used to summarize, organize y simplify data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

inferential statistics

A

techniques that allow us to study samples

- make generalizations about the populations from which they were selected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

sampling error

A

naturally occurring discrepancy (error) that exists btwn a sample statistic y the corresponding population parameter

aka margin of error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

correlational method

A

2 different variables are observed to determine whether there is a relationship btwn them

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

characteristics of an experimental method

A

(1) manipulation

(2) control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

general categories of variables to consider

A

(1) participant variables

(2) environmental variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

random assignment

A

each participant has an equal chance of being assigned to each of the treatment conditions

goal: distribute participant characteristics evenly btwn the 2 groups

17
Q

experimental method

A

manipulation of one variable while another variable is observed y measured
- establish cause y effect relationship

18
Q

independent variable

A

manipulated variable

19
Q

dependent variable

A

observed variable

20
Q

control condition

A

group that does not receive experimental treatment

  • placebo or no treatment
  • creates baseline
21
Q

experimental condition

A

group that receives experimental treatment

22
Q

quasi-independent variable

A

the “independent variable” used to create the diff. groups of scores

23
Q

constructs

A

internal attributes or characteristics that cannot be directly observed but are useful for describing y explaining behavior

24
Q

operational definition

A

IDs a measurement procedure for measuring an external behav

- use results as definition y measurement of hypothetical construct

25
Q

discrete variable

A

consists of separate, indivisible categories

- no values exist btwn 2 neighboring categories

26
Q

continuous variable

A

an infinite number of possible values that fall btwn any 2 observed values
- divisible into an infinite number of fractional parts

27
Q

real limits

A

boundaries of intervals for scores that are represented on a continuous number line
- separates adjacent scores

28
Q

upper real limit

A

at top of interval

29
Q

lower real limit

A

at bottom of interval

30
Q

nominal scale

A

a set of categories that have different names
- do not make any quantitative distinctions btwn observations

(ie) classifying people by race, gender, or occupation

31
Q

ordinal scale

A

a set of categories that are organized in an ordered sequence
- rank observations in terms of size or magnitude

32
Q

interval scale

A

ordered categories that are all intervals of exactly the same size

33
Q

ratio scale

A

an interval scale w/ the additional feature of an absolute zero point
- ratios of numbers do not reflect ratios of magnitude