Asked by Shayla Truong on May 27, 2024
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A researcher finds that the mean income for her sample is $40,500 but the mean for the population from which the sample is drawn is believed to be $44,270. The difference between the two means can be attributed to ______.
A) nonrandom sampling
B) normal sampling
C) luck
D) sampling error
Nonrandom Sampling
A sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
Sampling Error
Sampling error is the discrepancy between a sample statistic and its corresponding population parameter, caused by selecting a sample rather than conducting a census.
Mean Income
The average amount of income received over a specific period of time, calculated by dividing the total income by the number of recipients.
- Familiarize oneself with the idea of sampling error and its consequences on research conclusions.
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Learning Objectives
- Familiarize oneself with the idea of sampling error and its consequences on research conclusions.
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