Why might it be important to have these be important to take into consideration when conducting a sample?
Like you stated with sampling comes error. The two types of sampling error you must take into consideration are sampling error and non sampling error. Like you said sampling error is the difference between the true (unknown value) of the target population and the sample estimate. Any firm should take this type of error into consideration. During any type of sampling you cannot get the population as a whole to sample, which can be a downfall. They may get false information in buying behavior with sampling error. Because the lack of getting the population as a whole, you may be sampling a bunch of people who have the same buying behavior. But in fact the majority has a completely different buying behavior but was not sampled. The other type of sampling error you mentioned is non sampling error. As you stated this sampling error measurement errors. This can range from people making exaggerations, false statement, or collecting bias information. For any firm this is also very important information to consider when sampling. When conducting a sample a firm may want to change the wording around so it wouldn't make them sound rude. The main reason why you must take this into consideration is because you can get completely false results and create a new product customers do not buy. This could be detrimental to a company if they made a costly business decision with off of sampling containing sampling errors. Overall sampling must be done to get some idea of what new products and services should be created. Do you think sampling will ever be truly one-hundred percent accurate?
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