Week 14_Statistics for Real Estate

1) Simple random sampling..........

• every member of the population has an equal chance of being selected.

• every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.

• precise conclusions by ensuring that every subgroup is properly represented in the sample.

• also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample.

2.Non-probability sampling techniques are often used in exploratory and qualitative research.

• Yes

• No

3.A .................... sample simply includes the individuals who happen to be most accessible to the researcher.

• Convenience sampling

• Purposive sampling

• Snowball sampling

• Cluster sampling

• Stratified sampling

4.Probability Sampling Techniques

• Simple random

• Stratified random

• Cluster sampling

• Systematic sampling

• Quota sampling

5.Non-probability Sampling Techniques

• Quota sampling

• Snowball sampling

• Judgment sampling

•  Convenience sampling

• Systematic sampling

6.The purpose of the Pilot Test is to evaluate the feasibility, time, cost, risk, and performance of a research project.

• Yes

• No

7.Census...........................................................

• An enumeration of people, houses, firms, or other important items in a country or region at a particular time.

• Asked for a Social Security number, bank account information, or information about political party affiliation.

8.Categorical data is data that is grouped into categories, such as data for a 'gender' or 'smoking status' variable. Categorical data can be further classified as:

• nominal

• interval

• ratio

• discrete

9.Examples of primary sources?

• archives and manuscript material

• photographs, audio recordings,

• government publications

• oral histories

• video recordings, films.

10.Skewness is a measure of the symmetry of a distribution.

• Yes

• No