Exam 12: Determining How to Select the Sample

A census is defined as a subset of the population that somehow represents that entire group.

Mall-intercept companies often use convenience sampling to recruit respondents.

The Literary Digest story in your book shows the need for a good:

The target population for the U.S Census is:

A convenience sample may also be called an "exemplar sample."

Which of the following is NOT true of nonprobability samples?

If the strata sample sizes are faithful to their relative sizes in the population, you have what is called a proportionate stratified sample design.

Sampling error is caused by two factors; one of them is:

One of the reasons for taking a sample is that the typical researcher cannot analyze the huge amounts of data generated by a census.

Quota samples refer to samples obtained by bid.

A sampling method that separates the population into different subgroups, and then samples all of these subgroups, is the definition for:

An entire group under study, as specified by the objectives of the research project, is known as the:

Nonprobability samples are those for which members of the population do not have a known chance of completing and turning in a survey. It has nothing to do with the probability of being selected into the sample.

Snowball sampling is another name for:

If a random start is used in terms of visitors to a Web site, and then a skip interval is used to skip to the next visitor to ask to participate in a survey, this is an example of:

The first step in developing a sampling plan is to:

The data taken from a sample reveals that 45 percent are males and 55 percent are females, and 10 percent of the sample members earn over $50,000 per year. Comparing these figures with known data, such as census data for the geographical area defined by the population, would be a way of validating the sample.

The population for a market research project in Iowa to determine the cleaning service needs in companies would be defined as:

In stratified sampling, we should always ensure that the sample drawn for each stratum is:

Tata Motors of India is marketing a new vehicle that retails for only $2,200. The vehicle will carry two persons and has a body made of fiberglass. It is designed in component parts so that if a part is broken, you can easily disassemble the part and replace it with a new one ordered from Tata. Tata realizes that it will take some time for countries to allow the small vehicle on public roads due to safety requirements. However, Tata sees an immediate market among business firms who need inexpensive yet reliable vehicles to transport personnel around large manufacturing or warehousing facilities. One Tata manager stated: "Ninety percent of the time, company cars are used to transport only one or two persons and much of their travel is confined to the plant premises." "The new Tata vehicle will not replace the large company cars but can reduce the number of company cars a firm must buy by a substantial amount, thus saving tremendous amounts of money." Executives at Tata are interested in a sales estimate in Great Britain, their first targeted market outside of India. They will construct a sales forecast based upon a survey of companies and they know that demand will vary substantially, depending on the size of the company. Small firms will not want any vehicles, medium-sized firms may want about 5 or 10 vehicles, and large firms may want 20 to 100 vehicles. Secondary data is available that allows Tata to identify all firms in Great Britain and to know the size of the firm. If a survey is conducted to predict demand for the new Tata vehicle among business firms, which of the following sampling methods would be most appropriate?