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erica [24]
3 years ago
6

The manager of a shopping mall distributed a customer-satisfaction survey by handing it to people as they came through one of th

e doors to the mall one day. Of those handed out, 215 were completed and returned. Should the results of the survey be generalized to the population of all customers of the shopping mall?
D No, because a random sample from all customers of the shopping mall was not selected.

E No, because not all customers were selected.
Mathematics
2 answers:
Tresset [83]3 years ago
6 0

Answer:

The correct option is D.  No, because a random sample from all customers of the shopping mall was not selected

Step-by-step explanation:

In statistics, Bias can be described as a term which depicts error if a sample is not taken evenly or it depicts errors taken from an unjust sampling.

In statistics, sampling bias means the errors which occur if one part of the population is favoured more then the rest of the populations. In this kind of bias, the individuals for experimentation are not chosen randomly.

As the customer satisfaction survey was distributed in only one of the gates hence, it does not give a generalized result and the result is biased.

vlabodo [156]3 years ago
6 0

Answer:

Option D.

Step-by-step explanation:

Sampling bias is a bias in which a sample is collected in such a way that some members of the population have a less probability of being a part of the sample than others. In this case, individuals are not chosen randomly but selectively. Consequently, the result is biased.

In the given question, although the manager of a shopping mall distributed a customer-satisfaction survey by handing it to people as they came through one of the doors to the mall one day but of those handed out, only 215 were completed and returned.

So, the results of the survey can not be generalized to the population of all customers of the shopping mall as a random sample from all customers of the shopping mall was not selected.

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Step-by-step explanation:

to solve for w you firstly have to group the like terms

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I hope this helps

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