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LaTeX 文档中“缺失 } 插入”

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LaTeX 文档中“缺失 } 插入”

我是一名 LaTeX 初学者，曾写过以下内容：

\documentclass[12pt]{article}

\usepackage{amsmath} % for \Bar macro

\begin{document}
The law of large numbers says that if you take samples of larger size from any
population, then the mean of the sampling distribution, $\mu_\Bar{X}$ tends
to get closer and closer to the true population mean, $\mu$. From the Central
Limit Theorem (CLT), we know that as $n$ gets larger and larger, the sample
means follow a normal distribution. The larger $n$ gets, the smaller the standard
deviation of the sampling distribution. (The SD of the sampling population of
$\Bar{X}$ is $\frac{\sigma}{\sqrt{n}}$) This means that the sample mean
$\Bar{X}$ must be closer to the population mean $\mu$ as $n$ increases. We
can say that $\mu$ is the value the sample mean approaches as $N\to\infty$.
The CLT illustrates the law of large numbers.
\end{document}

但是，LaTeX 给出了错误Missing } inserted。我尝试了一些方法，但每次 LaTeX 都会给出这个错误。你能帮帮我吗？

答案1

完整的错误信息实际上是

! Missing { inserted.
<to be read again> 
                   \gdef 
l.7 ... of the sampling distribution, $\mu_\Bar{X}
                                                  $ tends to get closer and ...

最后两行告诉您 TeX 已阻塞在换行符之前的项目上，即$\mu_\Bar{X}。

需要将的下标项括$\mu_\Bar{X}$在括号中：$\mu_{\Bar{X}}$。

在此处输入图片描述

\documentclass[12pt]{article}

\usepackage{amsmath} % for \Bar macro

\begin{document}
The law of large numbers says that if you take samples of larger size from any
population, then the mean of the sampling distribution, $\mu_{\Bar{X}}$ tends
to get closer and closer to the true population mean, $\mu$. From the Central
Limit Theorem (CLT), we know that as $n$ gets larger and larger, the sample
means follow a normal distribution. The larger $n$ gets, the smaller the standard
deviation of the sampling distribution. (The SD of the sampling population of
$\Bar{X}$ is $\frac{\sigma}{\sqrt{n}}$) This means that the sample mean
$\Bar{X}$ must be closer to the population mean $\mu$ as $n$ increases. We
can say that $\mu$ is the value the sample mean approaches as $N\to\infty$.
The CLT illustrates the law of large numbers.
\end{document}

请注意，我将大量的代码缩减为这个小示例，您是新手，所以不必担心这个问题，但最好使用最少的代码来重现您的错误。您可以注释掉一半的代码，看看是否存在错误，然后删除它，直到错误减少。

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