De Moivre–Laplace theorem (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "De Moivre–Laplace theorem" in English language version.

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Walker, Helen M (1985). "De Moivre on the law of normal probability" (PDF). In Smith, David Eugene (ed.). A source book in mathematics. Dover. p. 78. ISBN 0-486-64690-4. But altho' the taking an infinite number of Experiments be not practicable, yet the preceding Conclusions may very well be applied to finite numbers, provided they be great, for Instance, if 3600 Experiments be taken, make n = 3600, hence ½n will be = 1800, and ½√n 30, then the Probability of the Event's neither appearing oftner than 1830 times, nor more rarely than 1770, will be 0.682688.

Thamattoor, Ajoy (2018). "Normal limit of the binomial via the discrete derivative". The College Mathematics Journal. 49 (3): 216–217. doi:10.1080/07468342.2018.1440872. S2CID 125977913.

Thamattoor, Ajoy (2018). "Normal limit of the binomial via the discrete derivative". The College Mathematics Journal. 49 (3): 216–217. doi:10.1080/07468342.2018.1440872. S2CID 125977913.

Walker, Helen M (1985). "De Moivre on the law of normal probability" (PDF). In Smith, David Eugene (ed.). A source book in mathematics. Dover. p. 78. ISBN 0-486-64690-4. But altho' the taking an infinite number of Experiments be not practicable, yet the preceding Conclusions may very well be applied to finite numbers, provided they be great, for Instance, if 3600 Experiments be taken, make n = 3600, hence ½n will be = 1800, and ½√n 30, then the Probability of the Event's neither appearing oftner than 1830 times, nor more rarely than 1770, will be 0.682688.