原假设和备择假设
Null and alternative hypothesis
推文的情绪（积极的、神经的或消极的）并不独立于推文中单词 "apple" 的出现。
什么是零假设和备择假设？
这肯定和编程无关
零假设（用 H0 表示）声明您的实验不会有任何观察到的效果。所以它可以表示为：
The sentiment of a tweet (positive, neural or negative) is independent of the appearance of the word "apple" in the tweet.
或者：
The appearance of the word "apple" does not predict sentiment in a tweet.
备择假设（H1 或 Ha）则相反，您将观察到实验结果的影响，它可以简单地表示为 H0 的否定：
There is a relationship between the sentiment of a tweet (positive, neural or negative) and the appearance of the word "apple" in the tweet.
也可以是对预期结果的陈述，例如：
A tweet that contains the word "apple" is more likely to be positive.
推文的情绪（积极的、神经的或消极的）并不独立于推文中单词 "apple" 的出现。
什么是零假设和备择假设？
这肯定和编程无关
零假设（用 H0 表示）声明您的实验不会有任何观察到的效果。所以它可以表示为：
The sentiment of a tweet (positive, neural or negative) is independent of the appearance of the word "apple" in the tweet.
或者：
The appearance of the word "apple" does not predict sentiment in a tweet.
备择假设（H1 或 Ha）则相反，您将观察到实验结果的影响，它可以简单地表示为 H0 的否定：
There is a relationship between the sentiment of a tweet (positive, neural or negative) and the appearance of the word "apple" in the tweet.
也可以是对预期结果的陈述，例如：
A tweet that contains the word "apple" is more likely to be positive.