Question

Standard error:

a) Is always the standard deviation divided by the square root of n.
b) Is a measure of the variability of a sample statistic.
c) Increases with bigger sample sizes.
d) All of the above.

Answer 1

standard error is define as: sigma/sqrt(n)

the bigger the bottom the smaller the error

Answer 2

s, or s^2 is a measure of the sample variablilty

Answer 3

s/sqrt(n) is something you see alot as well but that has to do with unbiased parameters or something

Answer 4

so what do you suggest?

Answer 5

since it cant be all of the above; and go with the definition of standard error in the text

Answer 6

b?

Answer 7

there does seem to be a measure of ambiguity .... i was leaning towards a tho

Answer 8

standard error of the mean and standard error of the estimate seem to come up when you define standard error

Answer 9

and? the rest are wrong. right? i have to choose only one!

Answer 10

i dont know what the choice format is; can you choose more than one answer?

"Standard error is a statistical term that measures the accuracy with which a sample represents a population.

"In statistics, a sample mean deviates from the actual mean of a population; this deviation is the standard error."

Answer 11

no...only one choice..

Answer 12

http://stattrek.com/estimation/standard-error.aspx

if its refering to standard error (of the whatever) ... then "a" might have some flaw to it

Answer 13

The standard error is the standard deviation of the sampling distribution of a statistic.[1]

Answer 14

https://en.wikipedia.org/wiki/Standard_error

Answer 15

id rather use a book :)

Answer 16

the variablity in a sample statistic

Answer 17

its value is calculated differently based on which statistic your assessing

Answer 18

ok..we will not waste more time.. choose one like tossing a coin. ;p

Answer 19

i choose B :)

Answer 20

here you are ;p// lets go to the other one!

Answer 21

what, are you just trying to cheat off of someone elses answer? im pretty sure we covered the options pretty well