For this case we have the following data:
31, 32, 32, 33, 34, 35, 35, 35, 35
The median is given by the central datum:
Median = 34
Mode is given by the most repeated data:
Mode = 35
Answer:
Median = 34
Mode = 35
Answer:
B.
Step-by-step explanation:
First let's define the different bias that exist:
Sampling bias: This bias occurs when the method used to get the sample favours one part of the population leaving another part of the population excluded.
Non response bias: This bias occurs when the people who do not answer the survey have different opinions from the ones who do.
Response bias: This bias occurs when the answer given to the survey does not reflect the true feelings of the person who responds.
Now back to the problem:
- The researcher sent the survey to 2000 randomly selected e-mail addresses, she expects to get 20% of responses, meaning 400 people will answer the survey.
Given these conditions, we would expect the survey to be biased. We have approximately 1600 people who didn't answer the survey so it is possible that all these people who didn't answer have different opinions from the 400 who did (non response bias), given that the survey was done by email it could also happen that people do not tell the truth when asked about a topic (response bias), also, there would be sampling bias because the people who she selected have an email address so the people who don't use email get excluded from the survey (sampling bias)
Sometimes the best way to tell whether two variables are associated is to ask yourself whether they are not associated. Think backward. In a two-way frequency table, if the relative frequencies for one variable are the same (or close) for all categories of another variable, there is no (or little) association.
Answer:
i cant
Step-by-step explanation:
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