Asked by Daniela Lopez on Jun 12, 2024
Verified
If you were to draw 15 random samples of 100 residents in a city you may get 15 different means. These differences across samples may be defined as ______.
A) probability
B) random error
C) sampling error
D) normal error
Sampling Error
The error caused by observing a sample instead of the whole population, leading to potential discrepancies between the sample and population characteristics.
Random Samples
Selections made from a larger population where each member has an equal chance of being included, ensuring the sample's representativeness.
Random Error
An error in measurement that leads to unpredictable deviations in the data.
- Recognize and apply the concept of sampling error.
Verified Answer
GM
giovanna monisJun 14, 2024
Final Answer :
C
Explanation :
Sampling error refers to the differences between the sample statistics (such as the mean) and the corresponding population parameters (such as the true population mean) that occur by chance due to random sampling variability. Therefore, the differences in means across the 15 random samples can be attributed to sampling error.
Learning Objectives
- Recognize and apply the concept of sampling error.