Statistics and Parameter

Quiz
•
Mathematics
•
11th Grade
•
Hard
Vecente Mayor
Used 9+ times
FREE Resource
5 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1. Larry and his group are cducting a research about the students of STEM 11 students in Laiya Integrated National High School when it comes to their preferred study environment. In order to get participants from their class, they used a lottery method where they randomly draw ten students from their class for their sample. Which random sampling technique is being described here?
A. Cluster Sampling
B. Simple Random Sampling
C. Stratified Random Sampling
D. Systematic Random Sampling
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
2. The researchers decided on using the cluster sampling. Which best describe this random sampling techinque?
A. It is a sampling technique where all units have an equal chance of being selected.
B. It is a sampling techinque that divides the population into different strata and picks units from each strata to form the sample.
C. It is a sampling method where the population is divided into groups and then the groups are randomly selected.
D. It is a sampling method where the kth interval is used to determine the sample.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
3. The following are examples of Probability Sampling, except:
A. Purposive Sampling
B. Cluster Sampling
C. Simple Random Sampling
D. Systematic Random Sampling
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
4. Systematic Random Sampling is a random sampling technique that uses the kth interval of the population in order to select its sample. How is the kth interval obtained?
A. By separating the population into clusters and getting units from each cluster.
B. By determining the least common multiple of the population size and the sample size.
C. By dividing the population size by the sample size.
D. By dividing the population size by the class interval.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
5. This pertains to the representatives of the population.
A. Sampling
B. Sample
C. Probability Sampling
D. Non-Probability Sampling
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