Baseball tickets Suppose you want to know the average amount of money spent by the fans attending opening day for the Cleveland Indians baseball season. You get permission from the team’s management to conduct a survey at the stadium, but they will not allow you to bother the fans in the club seating or box seats (the most expensive seating). Using a computer,

you randomly select 500 seats from the rest of the stadium. During the game, you ask the fans in those seats how much they spent that day.

(a) Provide a reason why this survey might yield a biased result.

(b) Explain whether the reason you provided in (a) is a sampling error or a non sampling error.

Short Answer

Expert verified

Part (a) The selection bias or under coverage bias.

Part (b) Non-sampling error.

Step by step solution

01

Part (a) Step 1: Given information

Number of seats randomly selected, n=500

We must explain why this poll could produce a biased result and the likely direction of the bias.

02

Part (a) Step 2: Concept

Non-sampling mistakes, on the other hand, are the most significant errors in even the most meticulous surveys. These have nothing to do with selecting a sample and can be found in any census. Nonresponse is the single biggest issue with a sample: people can't be reached or refuse to respond. Response bias can occur when respondents give incorrect replies. Finally, the precise wording of questions has a significant impact on the responses.

03

Part (a) Step 3: Explanation

The supporters in the club seating are not bothered by this study. However, we were curious in how much money all of the supporters spent in the stadium. As a result, the demographic segment that caused selection or under coverage bias is excluded.

04

Part (b) Step 1: Explanation

The supporters in the club seating are not bothered by this study. However, we were curious in how much money all of the supporters spent in the stadium. As a result, the demographic segment that caused selection or under coverage bias is excluded. This sample approach will exhibit undercover bias, resulting in a non-sampling error.

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