Asked by Haley Van Roekel on Jul 21, 2024
Verified
Sampling error refers to differences between statistics calculated from a sample and statistics pertaining to the population from which the sample is drawn.
Sampling Error
The difference between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter.
Statistics
Statistics is the branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data.
- Understand the principles of sampling error and its consequences in the context of hypothesis testing.
Verified Answer
BC
Brittney CollinsJul 24, 2024
Final Answer :
True
Explanation :
Sampling error is a well-known concept in statistics that refers to the differences between the characteristics of a random sample and the characteristics of the population from which it was drawn.
Learning Objectives
- Understand the principles of sampling error and its consequences in the context of hypothesis testing.
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