Notes for Quiz 3 Flashcards

1
Q

The _____ _________ lies between the population and sample.

A

gap differential

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2
Q

The population is also refered to as the _________.

A

parameter

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3
Q

What is a sample?

A

a part of the population

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4
Q

The backbone of inferential statistics is _________.

A

probablity

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5
Q

Gap differential = ________ ______

A

sampling error

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6
Q

True or False: At the end of the study we determine sample relationship, not population relationship.

A

we determine population relationship, not sample relationship

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7
Q

What are the 2 types of sampling processes?

A

1) probability sampling

2) non-probability samplign

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8
Q

What is the backbone of probability sampling?

A

random sampling

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9
Q

What are the 2 types of random sampling?

A

1) random assignment

2) ?

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10
Q

What are the 3 conditions of random sampling?

A

1) only by chance
2) known probability to be selected
3) non-zero probability to be selected

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11
Q

_____ _________ = sampling error

A

Gap differential

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12
Q

Non-proabability sampling is useless when it comes to __________ __________.

A

inferential statistics

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13
Q

_____ _________ = sampling error

A

Gap differential

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14
Q

_____________ sampling can make a decision only about sample relationship, and not population relationship

A

Non-probability

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15
Q

Non-probability sampling can make a decision only about ________ ____________, and not population relationship

A

sample relationship

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16
Q

Non-probability sampling can make a decision only about ________ ____________, and not population relationship

A

sample relationship

17
Q

_________ ______, is used to explain a population in a point and time in order to be able to apply probability.

A

Sampling frame

18
Q

Random Sampling:

____ __ _______ ——> Systematic Sampling

A

List of Sampling

19
Q

Random Sampling:

List of Sampling ——> __________ ________

A

Systematic Sampling

20
Q

What are the 2 types of group-based sampling?

A

1) stratified

2) cluster

21
Q

Is this stratified or cluster grouping:

seperate individuals into different groups

A

stratified

22
Q

Is this stratified or cluster grouping:

select from ALL GROUPS

A

stratified

23
Q

Is this stratified or cluster grouping:

ex. west coast, east coast, southern coast, etc.

A

stratified

24
Q

Is this stratified or cluster grouping:

seperate them into same group

A

cluster

25
Q

Is this stratified or cluster grouping:

select from the pot of ALL GROUPS

A

cluster

26
Q

Is this stratified or cluster grouping:

ex. whole state

A

cluster

27
Q

What are the 4 steps to go back to the population?

A

1) assume there is NO RELATIONSHIP in the population=null hypothesis
2) divide “future events”
3) measure the sample relationship
4) make a decision

28
Q

What are the 2 divides of “future events”?

A

1) likely to happen

2) unlikely to happen

29
Q

In order to divide “future events” one must use __________ ____________.

A

probabilty calculation

30
Q

What are the 2 decisons you can make for a population?

A

1) yes

2) no

31
Q

Yes to relationship= _______ __ ______

___ __ _________= likely to happen

A

unlikely to happen

No to relationship

32
Q

____ __ _________= unlikely to happen

No to relationship= ______ __ _______

A

Yes to relationship

likely to happen

33
Q

What is the difference between probability sampling and non-probabiltiy sampling?

A

inferential statistics

34
Q

Systematic sampling = _____

A

list

35
Q

What is the main benefit of probability sampling?

A

can use inferential statistics

36
Q

___________ _________ means different can be estimated

A

Representative sampling

37
Q

Divide likely and unlikely by ___________.

A

probability