Final Study Guide Q1

Question 1

Types of nonprobability sampling strategies

Answer 1

Nonprobability sampling(i.e. homeless)
-available subjects
-Purposive(judgemental)-small sample picked by researcher on basis of their grouping or knowledge(i.e. political parties
Snowball sampling- people interviewed suggest others for interviewing.
Quota-matrix or table used to control the distribution of characteristics.

Question 2

What is the chief difference between descriptive and inferential statistics?

Answer 2

Descriptive-Describing parameters
Inferential-drawing infrences from parameters to get statistic

Question 3

Parameter is to population what statistic is to what?

Answer 3

Sample.
A parameter describes true value calculated from population.
Statistic is an estimated measurement of a sample.

Question 4

What is the basic principle behind probability sampling?

Answer 4

In order to provide useful dewcriptions of the total population, a sample must exist with the same variations. Different methods can be used.

A sample will be representative of the population if all members have an equal chance of being selected for a sample.

Question 5

What is the list of elements from which a probability sample is drawn?

Answer 5

Families, social clubs, or corporations.

Question 6

What are the other terms associated with populations and samples?

Answer 6

Sampling unit-the elements considered for selection

Parameter-summary description of a given variable

Sampling error-Degree of error to be expected

Sampling frame-should be representative

Question 7

Types of probability sampling strategies

Answer 7

EPSEM-equal probability of selection method
PPS-Probability proportionate to size
Simple random sampling-assigned numbers and random generated
Systematic sampling- kth number of sample is chosen. For example every 25th person.