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Rifles, Reloading, Optics, Equipment
Rifles, Bullets, Barrels & Ballistics
ES induced elevation @ 1K
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<blockquote data-quote="AJ Peacock" data-source="post: 303953" data-attributes="member: 4885"><p>Monte,</p><p></p><p>The RSS stuff works when you have a statistically large enough sample to be valid. Most guys shoot 5-6 rounds and calculate their ES from that. It's unlikely they have any true 'outliers' in their small sample, even if they do, the sample size is so small that we would never know it. With such small sample size, adding the error together is a much better (and easier) way to do it. </p><p></p><p>Think about it, if I shoot 5 rounds to get my ES, then I shoot a 5 shot group. I'll have a 1 in 25 chance with every shot to have a max+max situation (max ES induced vertical and max shooter/rifle induced vertical); I'll also have a 1 in 25 chance to have a min/min condition. If I shoot just a handful of groups, I will certainly hit those conditions. More likely, I'll have a situation that the velocity during a group is actually higher of lower than my sampled velocities! Especially considering that measurements are typically taken when the weather/temperature is nice and we shoot targets/game in all conditions!</p><p></p><p>In a perfect/mathematical world, we'd measure enough rounds to get statistically significant data, then the root sum of squares method would be the correct way to do it. We could calculate our confidence intervals etc. We could assess if the data (our velocities) falls in a normal distribution or not. But we don't shoot in a perfect world, and very few shooters record large enough data sets to do much more than ES and a simple SD.</p><p></p><p>AJ</p></blockquote><p></p>
[QUOTE="AJ Peacock, post: 303953, member: 4885"] Monte, The RSS stuff works when you have a statistically large enough sample to be valid. Most guys shoot 5-6 rounds and calculate their ES from that. It's unlikely they have any true 'outliers' in their small sample, even if they do, the sample size is so small that we would never know it. With such small sample size, adding the error together is a much better (and easier) way to do it. Think about it, if I shoot 5 rounds to get my ES, then I shoot a 5 shot group. I'll have a 1 in 25 chance with every shot to have a max+max situation (max ES induced vertical and max shooter/rifle induced vertical); I'll also have a 1 in 25 chance to have a min/min condition. If I shoot just a handful of groups, I will certainly hit those conditions. More likely, I'll have a situation that the velocity during a group is actually higher of lower than my sampled velocities! Especially considering that measurements are typically taken when the weather/temperature is nice and we shoot targets/game in all conditions! In a perfect/mathematical world, we'd measure enough rounds to get statistically significant data, then the root sum of squares method would be the correct way to do it. We could calculate our confidence intervals etc. We could assess if the data (our velocities) falls in a normal distribution or not. But we don't shoot in a perfect world, and very few shooters record large enough data sets to do much more than ES and a simple SD. AJ [/QUOTE]
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ES induced elevation @ 1K
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