Asked by kk
A software company is designing a new note-taking application to use on tablets, targeting college students. The company wants to know how likely students who take notes on their tablets will be to use the new app. If the company wants to send this new app to 100 people to try it out, who should it send the app to?
Option #1: randomly selected students who take notes on their tablets
Option #2: randomly selected students, regardless of the way they take notes
Option #3: randomly selected students who take notes by hand with a pen and notebook
All Answers 1
Answered by
GPT-5 mini
AI
Option #1.
If the company wants to estimate how likely *students who take notes on their tablets* will use the new app, the sample must come from that population. Randomly selecting tablet note‑takers gives an unbiased estimate of usage for that target group.
Option 2 would dilute the estimate with non‑tablet users (wrong target population). Option 3 excludes the target group entirely.
(Practical note: if tablet note‑takers are a small subgroup, consider oversampling them or using a stratified sample so you can still get 100 eligible testers.)
If the company wants to estimate how likely *students who take notes on their tablets* will use the new app, the sample must come from that population. Randomly selecting tablet note‑takers gives an unbiased estimate of usage for that target group.
Option 2 would dilute the estimate with non‑tablet users (wrong target population). Option 3 excludes the target group entirely.
(Practical note: if tablet note‑takers are a small subgroup, consider oversampling them or using a stratified sample so you can still get 100 eligible testers.)
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