Chapter 1 - Introduction To Statistics Flashcards

0
Q

Definition of population

A

A population is 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
1
Q

Definition of statistics

A

The term statistics refers to 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

Definition of sample

A

A sample is 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
3
Q

What are the two halves of the full relationship between a sample and it’s population?

A

First, a sample is being selected from a population.

Second, the goal is to generalize the results back to the entire population.

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

Definition of variable

A

A variable is a characteristic or condition changes or has different values for different individuals

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

Definition of data

A

Data are measurements or observations. A data set is a collection of measurements or observations. A datum is a single measurement or upset ration and is commonly called a score or raw score.

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

A characteristic that describes a population, for example, the population average, is called a …

A

… Parameter.

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

A characteristic that describes a sample is called a …

A

Statistic.

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

A parameter is a …

A

… value, usually a numerical value, that describes a population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

A parameter is usually …

A

… derived from measurements of the individuals in the population.

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

A statistic is a…

A

… value usually any numerical value, that describes a sample.

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

Typically, every population parameter has a …

A

… corresponding sample statistic.

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

Definition of descriptive statistics

A

Descriptive statistics are statistical procedures used to summarize, organize, and simplify data.

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

Inferential statistics

A

Inferential statistics consist of techniques that allow us to study samples and then 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
14
Q

Definition of sampling error

A

Sampling error is that discrepancy, or amount of error, that exists between a sample statistic and the corresponding population parameter.

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

where can we observe sampling error

A

When we compared to samples from the same population

16
Q

N stands for …

A

… Number of scores in a population.

17
Q

n stands for …

A

… number of scores in a sample.

18
Q

Datum:

A

A single measurement or observation.

19
Q

Quasi-independent variable:

A

In a nonexperimental study, the “independent variable” that is used to create the different groups of scores is often called the quasi-independent variable.

20
Q

Raw score:

A

Another term for a single “datum” or “score”.

21
Q

Construct:

A

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

22
Q

Discrete variable:

A

Consisting of indivisible categories. No values exist btw two neighboring categories.

23
Q

Operational definition:

A

An operational definition identifies a measurement procedure (a set of operations) for measuring an external behavior and uses the resulting measurements as a definition and a measurement of a hypothetical construct.

24
Q

Continuous variable:

A

An infinite number of possible values lie btw any two observed values.

25
Q

Real limits:

A

A

26
Q

Upper real limit:

A

A

27
Q

Lower real limit:

A

A

28
Q

Nominal scale:

A

A

29
Q

Ordinal scale:

A

A

30
Q

Interval scale:

A

A

31
Q

Ratio scale:

A

A

32
Q

In the correlational method,

A

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