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  2. One-repetition maximum - Wikipedia

    en.wikipedia.org/wiki/One-repetition_maximum

    For example, if a person can lift 100 pounds on a given exercise for 10 reps, the estimated one rep max would be 133 pounds for both formulae. However, if the person were to complete only 6 reps, then Epley would estimate a one rep maximum of approximately 120 pounds, while Brzycki would return an estimate of approximately 116 pounds.

  3. How to Calculate Your One-Rep Max (Without Actually ... - AOL

    www.aol.com/lifestyle/calculate-one-rep-max...

    Finding your one rep max is a good gage of strength. Here's how to calculate your one rep max, how to use it, how to improve it, and what a good one rep max is.

  4. Training to failure - Wikipedia

    en.wikipedia.org/wiki/Training_to_failure

    A repetition maximum (RM) is the maximum weight a person can lift for the indicated number of repetitions. For example, a 10RM is the weight at which a person can do 10 lifts, but fail to fully perform the 11th. Similarly, a 1RM, or one-repetition maximum, is the most a person can fully lift (at least) once.

  5. Wilks coefficient - Wikipedia

    en.wikipedia.org/wiki/Wilks_Coefficient

    According to this setup, a male athlete weighing 320 pounds and lifting a total of 1400 pounds would have a normalised lift weight of 353.0, and a lifter weighing 200 pounds and lifting a total of 1000 pounds (the sum of their highest successful attempts at the squat, bench, and deadlift) would have a normalised lift weight of 288.4. Thus the ...

  6. Trainers Reveal The Magic Formula To Maximize Strength Gains

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  7. One rep maximum - Wikipedia

    en.wikipedia.org/?title=One_rep_maximum&redirect=no

    Retrieved from "https://en.wikipedia.org/w/index.php?title=One_rep_maximum&oldid=300945849"

  8. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    The simplest case of a normal distribution is known as the standard normal distribution or unit normal distribution. This is a special case when μ = 0 {\textstyle \mu =0} and σ 2 = 1 {\textstyle \sigma ^{2}=1} , and it is described by this probability density function (or density): φ ( z ) = e − z 2 2 2 π . {\displaystyle \varphi (z ...

  9. PERT distribution - Wikipedia

    en.wikipedia.org/wiki/PERT_distribution

    The mathematics of the distribution resulted from the authors' desire to make the standard deviation equal to about 1/6 of the range. [ 2 ] [ 3 ] The PERT distribution is widely used in risk analysis [ 4 ] to represent the uncertainty of the value of some quantity where one is relying on subjective estimates, because the three parameters ...