A [分析] 峰度(kurtosis)是指一个分布与正态分布在陡峭程度上的差异程度。高峰态(leptokurtic)指一个分布的峰值比正态分布更为陡峭;低峰态(platykurtosis)指一个分布的峰值比正态分布更为平缓。 如图1所示,与正态分布相比,高峰态分布会有更多的观测值集中在(算术)平均值附近(图中a区),同时会有更多远离平均值...
n. statements about a normal distribution is least accurate. A. The mean, median, and mode are equal. B. A normal distribution has excess kurtosis of three. C. The mean and variance completely define a normal distribution. D. Approximately 68% of the observations lie within +/- 1 ...
Compared to a normal distribution, a lognormal distribution is least likely to be:() A. skewed to the left. B. skewed to the right. C. useful in describing the distribution of stock prices. 相关知识点: 试题来源: 解析 A [分析] 通过图3,我们可以看到,与正态分布相比,对数正态分布具有以下...
B. A normal distribution has excess kurtosis of three.C. The mean and variance completely define a normal distribution. 正确答案:B 分享到: 答案解析: Even though normal curves have different sizes, they all have identical shape characteristics. The kurtosis for all normal distributions is three;...
9709-Stat1-Ch8.2 standardising a normal distribution 习题讲解, 视频播放量 175、弹幕量 0、点赞数 5、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者 老胡Tim_Hu, 作者简介 Mathematics is about understanding, not computing.,相关视频:9709-Stat1-Ch8.3 modeling
A. a mean of zero and a standard deviation of one. B. a mean of one and a standard deviation of zero. C. a mean usually larger than the standard deviation. D. a mean always larger than the standard deviation. 点击查看答案 你
aThe normal distribution is a continuous probability distribution that often gives a good description of data that cluster around the mean 正常分配是经常给数据一个好描述在手段附近成群的一块连续的概率分布 [translate] 英语翻译 日语翻译 韩语翻译 德语翻译 法语翻译 俄语翻译 阿拉伯语翻译 西班牙语翻译 ...
百度试题 题目A standard normal distribution is a normal distribution with: 相关知识点: 试题来源: 解析 a mean of zero and a standard deviation of one.反馈 收藏
The normal distribution is a ___ distribution.A.discreteB.continuousC.positively skewedD.rectangular的答案是什么.用刷刷题APP,拍照搜索答疑.刷刷题(shuashuati.com)是专业的大学职业搜题找答案,刷题练习的工具.一键将文档转化为在线题库手机刷题,以提高学习效率,是
What is the probability of getting a value of more than 1 standard deviation from the mean in a normal distribution? Suppose you have a distribution, X, with mean = 22 and standard deviation = 5. Define a new random variable Y = ...