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  • 卡路里、千焦、大卡傻傻分不清楚?关于热量看这一篇就够了
    日常摄入热量的单位一般用“卡路里”来计算,简称卡,1千卡=1000卡(也称为1大卡)。 千焦和千卡的换算关系是:1000千焦=238 9大卡,1 大卡(千卡)=4 18千焦(KJ),一般千焦换算成大卡可以直接除以4 18来计算如果要粗略计算热量,直接除以4即可。
  • 知乎 - 有问题,就会有答案
    知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容,聚集了中文互联网科技、商业、影视
  • abstract algebra - Prove that 1+1=2 - Mathematics Stack Exchange
    The main reason that it takes so long to get to $1+1=2$ is that Principia Mathematica starts from almost nothing, and works its way up in very tiny, incremental steps The work of G Peano shows that it's not hard to produce a useful set of axioms that can prove 1+1=2 much more easily than Whitehead and Russell do
  • 有问题,就会有答案 - 知乎
    知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容,聚集了中文互联网科技、商业、影视、时
  • 为什么 1 不能被认为是质数? - 知乎
    谢邀。1原本是作为质数的,因为它本身满足质数的定义(1只可以被1和它本身整除)。1之所以被排除质数的范围,是因为我们有如下定理: (唯一分解定理)对于任意整数 m ,有且仅有一组质数对 (p_1,p_2,p_3,\cdots ,p_n) 和正整数对 (a_1,a_2,a_3,\cdots ,a_n) ,使得
  • factorial - Why does 0! = 1? - Mathematics Stack Exchange
    $\begingroup$ The theorem that $\binom{n}{k} = \frac{n!}{k!(n-k)!}$ already assumes $0!$ is defined to be $1$ Otherwise this would be restricted to $0 <k < n$ A reason that we do define $0!$ to be $1$ is so that we can cover those edge cases with the same formula, instead of having to treat them separately
  • Binomial expansion of $(1-x)^n$ - Mathematics Stack Exchange
    (1+a)^n This yields exactly the ordinary expansion Then, by substituting -x for a, we see that the solution is simply the ordinary binomial expansion with alternating signs, just as everyone else has suggested
  • Given a 95% confidence interval why are we using 1. 96 and not 1. 64?
    in your Estimation of Population Mean meaning, that mean plus or minus 1 96 times its standard deviation gives 95% C I Errors distr estimation is considered to use t-distr with fatter tails than Normal distr , but with increasing size of sample errors distr can achieve the Normal Distr -- see t-tables z-tables in linked-pdf - there're




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