To analyze the distribution of scores in a class, which statistical method is suitable? A. Mean B. Median C. Mode D. Histogram 相关知识点: 试题来源: 解析 D。直方图可以直观地展示数据的分布情况,适合分析班级成绩的分布。均值、中位数和众数只能反映数据的集中趋势,不能展示分布情况。
The class ___ 50 students. [ ] A.is consisted of B.consists C.consists of D.is made of 答案 答案: 解析: 题意:这个班由 50 个学生组成。 consist of 由……组成,不用于被动结构。 相关推荐 1 The class ___ 50 students. [ ] A.is consisted of B.consists C.consists of D.is made ...
✅ inferential statistics ✅ effect size + CIs ✅ Bayesian hypothesis-testing ✅ Bayesian estimation There is also a grouped_ variant of this function that makes it easy to repeat the same operation across a single grouping variable. set.seed(123) grouped_ggscatterstats( data = dply...
百度试题 结果1 题目班上每个同学都有能力通过这次考试。Every student in the class is ___passing the exam. 相关知识点: 试题来源: 解析 根据句意,横线处应翻译"有能力",其英文是be capable of。故填capable of。反馈 收藏
Unfortunately, describing the root problem in an unbiased, abstract statement is not an easy task; it requires all members of the team to step back from their own biases of the solution’s form. Each person must challenge the constraints that are implied by the statement of the problem that...
According to the statistical data, the average score of the class is 80. What does “average” mean in this context? A. highest B. lowest C. middle D. total 相关知识点: 试题来源: 解析 C。本题考查单词“average”的含义。根据统计数据,班级平均分为 80,“average”在此语境中意为“中间...
一、新趋势图表阅读)根据班级对同学们会做的事情的统计,填写单词或短语完成句子。This is a result(结果)of the class survey(调查)。(人数):11=111. Eight students can play basketball .2.Four students can play the pipa .3.Twelve students can do some kung fu.4.Sixteen students can cook.5.Twenty...
A. higher than B. lower than C. as high as D. not so good as 相关知识点: 试题来源: 解析 A。本题考查对数据表的分析和比较级的表达。“average score”平均分数,根据数据比较,A 班的平均分高于 B 班,用“higher than”。反馈 收藏
Like any technical craft, learning the ins and outs of machine learning is an iterative process that requires time and dedication. A good starting point for machine learning is to have a foundation in programming languages, such as Python or R, along with an understanding of statistics. Many ...
Like any technical craft, learning the ins and outs of machine learning is an iterative process that requires time and dedication. A good starting point for machine learning is to have a foundation in programming languages, such as Python or R, along with an understanding of statistics. Many ...