Question

1. a large hotel chain sees about 500 customers per week. a data analyst working there is gathering data through customer satisfaction surveys. they are anxious to begin analysis, so they start analyzing the data as soon as they receive 50 survey responses. this is an example of what? select all that apply. ☐ failing to include diverse perspectives in data collection ☐ failing to have a large enough sample size ☐ failing to reward customers for participating in the survey ☐ failing to collect data anonymously

Explanation:

• Failing to include diverse perspectives: The analyst starts with 50 responses (small sample) instead of considering diverse customer groups (e.g., different demographics, stay types) in data collection, limiting perspective variety.
• Failing to have a large enough sample size: With 500 customers weekly, analyzing just 50 responses means the sample size is too small to represent the entire customer base accurately.
• Failing to reward customers: Not rewarding (e.g., incentives) could lead to low participation, but here the issue is early analysis with small sample, not participation cause. However, if we consider participation impact, but the main issues are sample size and perspective. Wait, the options: Let's re - evaluate. The hotel has 500 customers/week. Analyzing 50 responses:
• Sample size: 50 is small compared to 500, so "Failing to have a large enough sample size" applies.
• Diverse perspectives: 50 responses may not cover different customer segments (e.g., business vs leisure, different nationalities), so "Failing to include diverse perspectives in data collection" applies.
• "Failing to reward customers" – the problem is about starting analysis early, not about participation (no info on participation rate, just starting with 50). "Failing to collect data anonymously" – no info on anonymity. So the correct options are the first two (Failing to include diverse perspectives in data collection, Failing to have a large enough sample size) and maybe others? Wait, the question says "select all that apply". Let's check each:
• Failing to include diverse perspectives: If they only have 50 responses, they might miss diverse customer groups (e.g., different ages, purposes of stay), so this is a failure in data collection (not including diverse perspectives).
• Failing to have a large enough sample size: 50 out of 500 is a small sample, so this is a failure.
• Failing to reward customers: The problem doesn't mention rewards affecting participation; it's about starting analysis with 50 responses, not about getting more responses. So this may not apply.
• Failing to collect data anonymously: No info on anonymity, so this doesn't apply. Wait, maybe I made a mistake. Wait, the analyst is "gathering data through customer satisfaction surveys" and starts analyzing with 50. So:
• Sample size: 50 is small (500 customers/week), so "Failing to have a large enough sample size" is correct.
• Diverse perspectives: If the 50 are not a diverse group (e.g., all from one type of stay), then they fail to include diverse perspectives. So this is correct.
• The other two options: No info on rewards or anonymity, so they don't apply. Wait, but maybe the "Failing to reward customers" – if customers aren't rewarded, they might not participate, leading to small sample. But the problem says "they are anxious to begin analysis, so they start analyzing the data as soon as they receive 50 survey responses". So the issue is starting analysis with small sample, not about why they have 50. So the main issues are sample size and perspective. So the correct options are:
• Failing to include diverse perspectives in data collection
• Failing to have a large enough sample size

Answer:

• Failing to include diverse perspectives in data collection
• Failing to have a large enough sample size