Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Biostatistics > Module 2 > Flashcards

Module 2 Flashcards

1
Q

Stages in Sample Selection (1)

A

Define target population

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

Stages in Sample Selection (2)

A

Select sampling frame

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

Stages in Sample Selection (3)

A

Define if probability or non probability

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

Stages in Sample Selection (4)

A

Plan procedure for selecting sampling units

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

Stages in Sample Selection (5)

A

Determine sample size

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

Stages in Sample Selection (6)

A

Select actual sampling units

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

Stages in Sample Selection (7)

A

Conduct field work

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

All items or individuals of interest

A

Population

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

A finite subset of statistical individuals obtained from the population

A

Sample

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

To select a portion from the population

A

Sampling

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

Population pyramids

A

A. Rapidly Explanding
B. Expanding
C. Stationary
D. Contracting

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

Probability sampling techniques

A

Simple random
Systematic
Stratified random
Cluster

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

Non probability sampling techniques

A 
Quota 
Snowball 
Self selection 
Convenient 
Purposive
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Types of purposive sampling

A 
Extreme case 
Heterogenous 
Homogenous 
Critical case 
Typical case
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

It refers to the sampling “lottery method”

A

Simple random sampling

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

The population is divided into groups based on some characteristi gs

List of Clients
Strata
Random subsamples of n/N

A

Stratified Sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Every member of the population is assigned to only one group

A

Cluster sampling

18
Q

A list of every member of the populating

Intervals

A

Systemic random sampling

19
Q

Quota sampling

A

Proportional quota sampling

Non proportional quota sampling

20
Q

The population of interest is represented almost exactly by the percentage of each cell in the final survey results

A

Proportional quota sampling

21
Q

“Soft quotas”

Captures a minimum number of respondents in a specific group

A

Non proportional quota sampling

22
Q

The researchers chooses a sample that is readily available in some non random way

A

Convenience sampling

23
Q

The respondents decide whether or not to participate

A

Self selection sampling

24
Q

It asks respondents to recommend other respondents who might subsequently be invited to take the survey

A

Snowball sampling

25
Q

The interview or study designer chooses sampled units who by their judgement will meet the specific purpose of the survey

A

Purposive sampling

26
Q

The goal is not to be representative of views on an issue but “to look at it from all angles”

A

Maximum variance sampling (heterogenous sampling)

27
Q

To deeply explore the views if a group of respondents with the same characteristics

A

Homogenous sampling

28
Q

It is interested in an in-depth assessment of the typical viewpoits

A

Typical case sampling

29
Q

It is interested in understanding unusual cases such as successes or failures

A

Extreme case sampling

30
Q

Studying those cases that have the most to offer in terms of understanding the population

A

Critical case sampling

31
Q

Surveying experts on a particular topic, with their expertise left to the judgement of the interviewer or study designer

A

Expert sampling

32
Q

Surveying every single member of a qualifying subgroup

A

Total population sampling

33
Q

Also called “raw data”

A

Ungrouped data

34
Q

Data that has not been summarized in any way

A

Ungrouped data

35
Q

Example:

Data set: 5, 2, 10, 12, 8, 12

A

Ungrouped data

36
Q

Data that has been organized

A

Grouped data

37
Q

Ofter called the average of numerical set of data

A

Mean

38
Q

Sum of the values / the number of values

A

Mean

39
Q

The number that falls in the middle position

A

The median

40
Q

The set of data that most frequently appears in the set

A

Mode

41
Q

Highest value - lowest value

A

The range

42
Q

The ratio if the standard deviation to the mean

A

Coefficient

Biostatistics (2 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions