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When calculating the variance of a variance, should I use the theoretical variance or the experimental...
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Given an experimental variance, I am asked to see if my variance makes sense. With the formula for the variance of the variance, should I use this formula with the theoretical or experimental variance?
Same thing for the variance of the mean?
statistics
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
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0
$begingroup$
Given an experimental variance, I am asked to see if my variance makes sense. With the formula for the variance of the variance, should I use this formula with the theoretical or experimental variance?
Same thing for the variance of the mean?
statistics
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
$endgroup$
$begingroup$
I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
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– John Polcari
Jan 26 at 23:44
add a comment |
0
0
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$begingroup$
Given an experimental variance, I am asked to see if my variance makes sense. With the formula for the variance of the variance, should I use this formula with the theoretical or experimental variance?
Same thing for the variance of the mean?
statistics
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
$endgroup$
Given an experimental variance, I am asked to see if my variance makes sense. With the formula for the variance of the variance, should I use this formula with the theoretical or experimental variance?
Same thing for the variance of the mean?
statistics
statistics
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
asked Jan 26 at 23:03
GoldnameGoldname
1,475930
1,475930
$begingroup$
I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
$endgroup$
– John Polcari
Jan 26 at 23:44
add a comment |
$begingroup$
I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
$endgroup$
– John Polcari
Jan 26 at 23:44
$begingroup$
I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
$endgroup$
– John Polcari
Jan 26 at 23:44
$begingroup$
I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
$endgroup$
– John Polcari
Jan 26 at 23:44
add a comment |
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I would think that you would first want to compute the theoretical mean of the experimental mean and variance, to determine if they are unbiased. Then the theoretical variance of the experimental mean and variance, to determine if they are stable enough (particularly for the number of DOF in the experimental statistics you actually have to work with).
$endgroup$
– John Polcari
Jan 26 at 23:44