Chapter 1 Stats Flashcards

1
Q

subjects are split into groups and then the whole group is selected

A

Cluster sample

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

a variable that influences the dependent or outcome variable but is not part of the study

A

Confounding variable

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

the group that does not receive anything or sometimes a placebo

A

Control group

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

a sampling method whereby the researcher uses subjects that are easily available (i.e. interviews people walking into a mall to find out where they plan to shop)

A

Convenience sample

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

The branch of statistics that involves the collection, organization, summarization, and presentation of data

A

Descriptive statistics

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

the values (measurements or observations) that variables can assume

A

Data

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

a study whereby the researcher manipulates one of the variables and tries to determine how the manipulation influences other variables

A

Experimental study

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

the area of statistics whereby probability is used to make inferences from samples to populations

A

Inferential statistics

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

a level of measurement that ranks data, and there is precise differences between units of measure; however, there is no meaningful zero

A

Interval level of measurement

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

the measurement scale that classifies data into mutually exclusive (nonoverlapping), exhausting categories in which no order or ranking can be imposed on the data

A

Nominal level of measurement

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

a study whereby the researcher merely observes what is happening or whathas happened in the past and tries to draw conclusions based on these observations

A

Observational study

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

a level of measurement that classifies data into categories that can be ranked; however, precise differences between the ranks do exist

A

Ordinal level of measurement

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

a group that consists of all subjects (human or otherwise) that are being studied

A

Population

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

the chance of an event occurring

A

Probability

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

variables that can be placed into distinct categories according to some characteristic or attribute

A

Qualitative variable

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

variables that are numerical and can be ordered or ranked

A

Quantitative variable

17
Q

samples selected by using chance methods or random numbers

A

Random sampling

18
Q

variables whose values are determined by chance

A

Random variable

19
Q

a level of measurement that possesses all the characteristics of interval measurement, and there exists a true zero. In addition, true ratios exist when the same variable is measured on two different members of the population.

A

Ratio level of measurement

20
Q

a group of subjects selected from a population

A

Sample

21
Q

the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data

A

Statistics

22
Q

samples that are obtained by dividing the population into groups (called strata) according to some characteristic that is important to the study, then sampling from each group

A

Stratified sample

23
Q

a sample obtained from numbering each subject of the population and then selecting every “k”th subject

A

Systematic sample

24
Q

the group in an experimental study that received special instruction

A

Treatment group

25
Q

a characteristic or attribute that can assume different values

A

Variable

26
Q

How was the sample selected?
Is the sample representative of the population?
Is the sample large enough?

A

Suspect sample

27
Q

averages can differ and people who know this use the measure of average that lends the most evidence to support their position

A

Ambiguous average

28
Q

when different values are used to represent the same data

A

Changing the subject

29
Q

A type of statistic in which no comparison is being made to anything else. “Tylenol works four times faster.”

A

Detached statistics

30
Q

Many claims attempt to imply connections between variables that may not actually exist.

A

Implied connections

31
Q

graphs that are constructed incorrectly to cause confusion and can lead to false assumptions

A

Misleading graphs

32
Q

the way questions are phrased can often influence the way people answer them

A

Faulty survey questions

33
Q

the phenomenon in which the expectations of the participants in a study can influence their behavior

A

Placebo effect