Notes for Quiz 3

Question 1

The _____ _________ lies between the population and sample.

Answer 1

gap differential

Question 2

The population is also refered to as the _________.

Answer 2

parameter

Question 3

What is a sample?

Answer 3

a part of the population

Question 4

The backbone of inferential statistics is _________.

Answer 4

probablity

Question 5

Gap differential = ________ ______

Answer 5

sampling error

Question 6

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

Answer 6

we determine population relationship, not sample relationship

Question 7

What are the 2 types of sampling processes?

Answer 7

1) probability sampling

2) non-probability samplign

Question 8

What is the backbone of probability sampling?

Answer 8

random sampling

Question 9

What are the 2 types of random sampling?

Answer 9

1) random assignment

2) ?

Question 10

What are the 3 conditions of random sampling?

Answer 10

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

Question 11

_____ _________ = sampling error

Answer 11

Gap differential

Question 12

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

Answer 12

inferential statistics

Question 13

_____ _________ = sampling error

Answer 13

Gap differential

Question 14

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

Answer 14

Non-probability

Question 15

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

Answer 15

sample relationship

Question 16

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

Answer 16

sample relationship

Question 17

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

Answer 17

Sampling frame

Question 18

Random Sampling:

____ __ _______ ——> Systematic Sampling

Answer 18

List of Sampling

Question 19

Random Sampling:

List of Sampling ——> __________ ________

Answer 19

Systematic Sampling

Question 20

What are the 2 types of group-based sampling?

Answer 20

1) stratified

2) cluster

Question 21

Is this stratified or cluster grouping:

seperate individuals into different groups

Answer 21

stratified

Question 22

Is this stratified or cluster grouping:

select from ALL GROUPS

Answer 22

stratified

Question 23

Is this stratified or cluster grouping:

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

Answer 23

stratified

Question 24

Is this stratified or cluster grouping:

seperate them into same group

Answer 24

cluster

Question 25

Is this stratified or cluster grouping: | select from the pot of ALL GROUPS

Answer 25

cluster

Question 26

Is this stratified or cluster grouping: | ex. whole state

Answer 26

cluster

Question 27

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

Answer 27

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

Question 28

What are the 2 divides of "future events"?

Answer 28

1) likely to happen | 2) unlikely to happen

Question 29

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

Answer 29

probabilty calculation

Question 30

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

Answer 30

1) yes | 2) no

Question 31

Yes to relationship= _______ __ ______ | ___ __ _________= likely to happen

Answer 31

unlikely to happen | No to relationship

Question 32

____ __ _________= unlikely to happen | No to relationship= ______ __ _______

Answer 32

Yes to relationship | likely to happen

Question 33

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

Answer 33

inferential statistics

Question 34

Systematic sampling = _____

Answer 34

list

Question 35

What is the main benefit of probability sampling?

Answer 35

can use inferential statistics

Question 36

___________ _________ means different can be estimated

Answer 36

Representative sampling

Question 37

Divide likely and unlikely by ___________.

Answer 37

probability