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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Assuming that your choices are sunny and not sunny. There would be a 50% chance that a year from today will be sunny.
Therefore the answer would be 1/2 or 50%.
Answer:
20
Step-by-step explanation:
Once you give 1 candy to each of the 4 kids, you will have 3 remaining. The number of ways those can be distributed to 4 kids is given by ...
(n+k-1)C(n)
where n is the number of candies, and k is the number of kids. "aCb" is the number of ways a can be taken b at a time:
aCb = a!/(b!(a-b)!)
For n=3 and k=4, this is ...
(3+4-1)C(3) = 6C3 = 6!/(3!·3!) = 20
There are 20 ways to distribute 7 candies to 4 kids so that each kid receives at least one.
Answer:
10,000,000
Step-by-step explanation:
