Exam 2: Data Collection

arrow
  • Select Tags
search iconSearch Question
flashcardsStudy Flashcards
  • Select Tags

Automobile exhaust emission of CO2 (milligrams per mile) is ____________ data.

(Multiple Choice)
5.0/5
(34)

Quantitative variables use which two levels of measurement?

(Multiple Choice)
4.8/5
(43)

Judgment sampling and convenience sampling are nonrandom sampling techniques.

(True/False)
4.9/5
(38)

Temperature in degrees Fahrenheit is an example of a(n) __________ variable.

(Multiple Choice)
4.8/5
(36)

A section of the population we have targeted for analysis is:

(Multiple Choice)
4.8/5
(31)

A population has groups that have a small amount of variation within them, but large variation among or between the groups themselves. The proper sampling technique is:

(Multiple Choice)
4.8/5
(37)

Which is a time series variable?

(Multiple Choice)
4.7/5
(39)

Which of the following is a correct statement?

(Multiple Choice)
4.8/5
(39)

Sampling bias can best be reduced by:

(Multiple Choice)
4.7/5
(42)

Which of the following is false?

(Multiple Choice)
5.0/5
(39)

Which is not a time series variable?

(Multiple Choice)
4.7/5
(30)

Which of the following is numerical data?

(Multiple Choice)
4.9/5
(44)

A good Likert scale may not have:

(Multiple Choice)
4.8/5
(35)

Ordinal data can be treated as if it were nominal data but not vice versa.

(True/False)
4.8/5
(40)

Which of the following is not true?

(Multiple Choice)
4.7/5
(33)

A Likert scale:

(Multiple Choice)
4.9/5
(35)

Responses on a seven-point Likert scale are usually treated as ratio data.

(True/False)
4.7/5
(35)

Which statement is correct?

(Multiple Choice)
4.8/5
(32)

If you randomly sample 50 students about their favorite places to eat, the data collected would be referred to as cross-sectional data.

(True/False)
4.9/5
(41)

Sampling error is avoidable by choosing the sample scientifically.

(True/False)
4.9/5
(37)
Showing 21 - 40 of 111
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)