Jason and Yolanda both drew a simple random sample from a non-normally distributed population of 25,000. Jason’s sample consisted of 0.24% of the population, while Yolanda’s sample consisted of 0.32% of the population. Whose sample can be used to make inferences about the population? neither Jason’s sample nor Yolanda’s sample only Jason’s sample only Yolanda’s sample both Jason’s sample and Yolanda’s sample
@haleyelizabeth2017 @MrCoolGuy @Ms-Brains @kropot72
What do you think it is?
well me and mr cool thought it was D
@mathmale
Thats what i'm thinking too...not sure though
@ShadowLegendX
@larryboxaplenty you got anything?
Never really worked with problems involving sampling from a non-bell curve
crap..
@mathmale please help
First of all, a caveat (warning): It's been 2.5 years since I last tutored this particular subject. What I seem to remember is that when your sample size is relatively large, the sample can be considered to be normally distributed, even tho' the population distribution is not normal. I think the "Law of Large Numbers" is involved here. I'm leaving that for you to look up and check out if you're interested. If the population size was 25,000, and Yolanda took a sample of 0.24% of that, then her sample size was 60. Better verify that. Or...did you mean 24%? or did you mean 0.24 and not 0.24%? What is the minimum sample size that you must have in order to proceed with making inferences from the sample statistics even tho' the population is not normally distributed?
I need for y ou to verify the sample sizes. Did you mean 0.24%? or 24%?
Join our real-time social learning platform and learn together with your friends!