jason and yolanda both drew a simple random sample from a non - normally distributed population of 25,000…

jason and yolanda both drew a simple random sample from a non - normally distributed population of 25,000. jasons sample consisted of 0.24% of the population, while yolandas sample consisted of 0.32% of the population. whose sample can be used to make inferences about the population?\no neither jasons sample nor yolandas sample\no only jasons sample\no only yolandas sample\no both jasons sample and yolandas sample

jason and yolanda both drew a simple random sample from a non - normally distributed population of 25,000. jasons sample consisted of 0.24% of the population, while yolandas sample consisted of 0.32% of the population. whose sample can be used to make inferences about the population?\no neither jasons sample nor yolandas sample\no only jasons sample\no only yolandas sample\no both jasons sample and yolandas sample

Answer

Explanation:

Step1: Calculate Jason's sample size

Jason's sample is 0.24% of 25000. So, $0.0024\times25000 = 60$.

Step2: Calculate Yolanda's sample size

Yolanda's sample is 0.32% of 25000. So, $0.0032\times25000=80$.

Step3: Check sample - size condition

For a non - normally distributed population, a sample size of at least 30 is generally considered large enough to make inferences about the population using the Central Limit Theorem. Since both 60 and 80 are greater than 30.

Answer:

D. both Jason's sample and Yolanda's sample