Bias refers to scenarios which might affect the ability of a statistical experiment to generalize, hence affecting the validity of research. Non-response bias occurs when majority of subjects <em>fail to respond during a survey</em>. Hence, a likely scenario is ; <em>surveys were mailed to 500 people, and 200 of the surveys were completed and </em><em>returned</em><em>.</em><em> </em>
- Non - response bias has to do with a situation whereby a large percentage of the selected samples from a population do not respond or fail to participate in the experiment or survey.
- If 200 surveys were returned, then 300 of the sample participants did not respond. Which means <em>60% of the sample are non-responsive</em>.
Therefore, a scenario where <em>surveys were mailed to 500 people, and 200 of the surveys were completed and </em><em>returned</em><em> </em>exemplifies a non - response bias.
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X > -2
Or
( -2, infinity )
Answer:
Step-by-step explanation:
Mark got 54 out of 66 correct in his test.
We need to find what fraction of the marks did he get correct,
Total number of questions = 66
Total number of correct answers = 54
Answer:
$105
Step-by-step explanation:
125 - 20 = $105
hopefully this helps
