Undercoverage might lead to bias in this study due to the risk of collecting data from a small number of people who feel strongly about the research study in this scenario.
<h3>What is Undercoverage bias?</h3>
This refers to a type of sampling bias which occurs when the research population aren't adequately represented in the study.
This type of sampling involves getting data from a selected few people who may have the same opinion or view about the study which doesn't depict the true representation of the population.
This makes the study to be biased which is why undercoverage is usually avoided when conducting a research.
Read more about Undercoverage bias here brainly.com/question/13294832
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Answer:192 because id u do the math and multiply.
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Step-by-step explanation:
Answer:
Answer: The mean increases by 3
Step-by-step explanation:
The original data set is
{50, 76, 78, 79, 79, 80, 81, 82, 82, 83}
The outlier is 50 because it is not near the group of values from 76 to 83 which is where the main cluster is.
The original mean is M = (50+76+78+79+79+80+81+82+82+83)/10 = 77
If we take out the outlier 50, the new mean is N = (76+78+79+79+80+81+82+82+83)/9 = 80
So in summary so far
old mean = M = 77
new mean = N = 80
The difference in values is N-M = 80-77 = 3
So that's why the mean increases by 3
