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descriptive statistics相关的网络例句

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与 descriptive statistics 相关的网络例句 [注:此内容来源于网络,仅供参考]

The statistical methods of measurement data include descriptive statistics and inferential statistics.

计量资料统计分析主要分为统计描述和统计推断。

As to statistical analysis, Chinese version of statistical packaged software SPSS 12.0 was used to conduct descriptive statistics and inferential statistics.

统计分析的方法是运用统计套装软体SPSS 12.0中文版来进行描述性统计及推论性统计。

These techniques are so diverse that statisticians commonly separate them into two broad categories: descriptive statistics and inferential statistics.

根据统计技术的不同作用,统计家通常把统计学划分为两个较大的范畴:描述统计学和推断统计学。

The statistics used include: descriptive statistics, Chi-Square, t-test, Interquartile range, etc.

统计方法之使用包括描述统计、T检定、卡方检定、四分位距等。

The research takes all members in 104 call center of Chunghwa Telecom Northern Taiwan Business Group, 228 people in total as survey targets of the questionnaire. The methodology of questionnaire is adopted as the collected data are statistically analyzed through SPSS for windows. The applied statistics methods include: descriptive statistics, reliability analysis, T-test analysis, One-Way ANOVA, factor analysis, Pearson's product moment correlation coefficient, regression analysis, etc.

本研究以中华电信北区104查号委外发包全体员工228名为问卷调查对象,采问卷调查,并将所搜集的资料,透过SPSS for Windows 套装软体进行统计分析,使用的统计分析方法,包括:叙述性统计分析法、信度分析、T检定(T-test Analysis)与单因子变异数分析(One –Way ANOVA),因素分析、皮尔森积差相关分析及回归分析等方法。

Outline of the course include: Introduction ; Data processing and analysis ; Descriptive statistics ; Statistical inference ; Analysis of variance ; Correlation of variable ; Non parametric statistics analysis.

本课程的主要内容包含:绪论、资料整理与分析、描述统计、推论统计、平均数的差异、变数间的关系、无母数统计分析。

Students will learn Descriptive Statistics, Probability and Random Variables, Probability Distributions, Sampling and Sampling Distributions in Statistics.

同学们将在统计学中学习叙述统计量的意义与计算、机率与随机变数、机率分配、抽样与抽样分配等基础统计方法。

Students will learn Descriptive Statistics, Probability and Random Variables, Probability Distributions, Sampling and Sampling Distributions, Statistical Estimations, and Hypothesis Testing in Statistics.

同学们将在统计学中学习叙述统计量的意义与计算、机率与随机变数、机率分配、抽样与抽样分配、统计估计、假说检定等基础统计方法。

This course includes descriptive statistics, probability distribution, sampling distribution, statistical estimation, hypothesis testing, analysis of variance, chi-square tests, simple linear regression, multiple regression, and nonparametric statistics.

本课程内容包括叙述统计、机率分配、抽样分配、统计估计、统计假设检定、变异数分析、卡方检定、简单线性廻归、复廻归、无母数统计。

In this research, it contends several statistics methods, including Descriptive Statistics, Factor and Reliability Analysis, Chi-square test of independence, One-way ANOVA and Multiple Regression.

本论文所使用之统计方法有叙述性统计、因素及信度分析、卡方独立性检定、单因子变异数及回归分析。研究结果发现

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