Question

Check my answer? statistics?

Answer 1

normal distributions seems right but idk

Answer 2

wish i could help, this is out of my range

Answer 3

A statistic is said to be an unbiased estimate of a given parameter when the mean of the sampling distribution of that statistic can be shown to be equal to the parameter being estimated.

For example, the mean of a sample is an unbiased estimate of the mean of the population from which the sample was drawn.

Answer 4

so i would NOT go with normal distribution

Answer 5

looks like maybe "sample mean" would be better, but i would bet no more than $6 that it is right

Answer 6

yeah I read up on all their definitions and it seems either that or population parameter seems right

Answer 7

all this verbiage is gibberish to me
maybe @jim_thompson5910 has a better answer

Answer 8

the whole goal of statistics is to measure a population parameter with a sample statistic

example: you wish to find the population mean of the height of men in the entire country. You cannot measure all of their heights (at least not at a feasible cost), so you take a representative sample and compute the sample mean. The sample mean is the statistic estimating the parameter

Answer 9

a sample statistic that does a relatively good job at measuring the population parameter is considered an unbiased estimator

Answer 10

if it were biased in some way, then it's not painting the true picture

Answer 11

So population parameter would be my answer right? since that's what statistics are targeting?

Answer 12

@jim_thompson5910

Answer 13

yes that is correct

Answer 14

thanks

Answer 15

np