Quiz – Math 1, Unit 4, Section A

Quiz: Math 1, Unit 4, Section A

1. Which of the following is an example of quantitative data?
   1. Colors of flowers in a garden
   2. Height of students in a class
   3. Types of music genres
   4. Opinions on a new movie
2. What is the primary difference between qualitative and quantitative data?
   1. Qualitative data is numerical, and quantitative data is descriptive.
   2. Qualitative data can be measured, and quantitative data cannot be.
   3. Quantitative data is numerical, and qualitative data is descriptive.
   4. Quantitative data is more accurate than qualitative data.
3. Which method of data collection is best suited for gathering in-depth insights into participants’ perspectives?
   1. Surveys
   2. Experiments
   3. Interviews
   4. Observations
4. What is one major advantage of using surveys for data collection?
   1. They are time-consuming and resource-intensive.
   2. They allow for in-depth exploration of complex topics.
   3. They provide real-time data and context-rich information.
   4. They are cost-effective and can collect data from a large number of respondents.
5. Which of the following is a disadvantage of using observations as a data collection method?
   1. Response bias can occur.
   2. It may lack ecological validity.
   3. It is difficult to observe certain behaviors directly.
   4. It provides limited depth of information.
6. Which data collection method involves manipulating variables to determine cause-and-effect relationships?
   1. Surveys
   2. Interviews
   3. Observations
   4. Experiments
7. What is primary data?
   1. Information gathered from existing sources
   2. Information collected directly from the source
   3. Descriptive information that characterizes attributes
   4. Numerical information that can be measured
8. Which of the following is an example of secondary data?
   1. Survey responses
   2. Historical data
   3. Experiment results
   4. Direct observations
9. What is one advantage of using experiments in data collection?
   1. They are cost-effective for large samples.
   2. They provide strong evidence for causal relationships.
   3. They are useful for exploring complex topics.
   4. They are less time-consuming than interviews.
10. In which field is data collection essential for solving real-life problems?
    1. Marketing
    2. Healthcare
    3. Education
    4. All of the above