举一反三
- The analysis of variance (ANOVA) tests hypotheses about the population variance. A: 正确 B: 错误
- Analysis of variance (ANOVA) models test hypotheses about the population variance.
- The sample variance is an unbiased estimator of the population variance.
- Single-factor Analysis of Variance (ANOVA) model is also called the effects model.
- What are the common methods of Analysis of variance? ( ) A: one-way ANOVA B: two-way ANOVA C: N-way ANOVA D: zero-way ANOVA
内容
- 0
Single-factor Analysis of Variance (ANOVA) model is also called the effects model. A: 正确 B: 错误
- 1
Variance analysis include ( ) A: Schedule variance B: Cost variance C: The schedule performance index D: The cost performance index
- 2
Analysis of Variance (ANOVA) is a test for the difference in . A: means of two or more samples B: means of three or more samples C: vairance of three or more smaples D: means of two or more populations E: variance of two or more populations
- 3
The term ‘variance’ of the method ‘Analysis of Variance’ means: . A: The method is to compare the difference of population variances B: The method is to compare the difference of sample variances C: The method requires that variances of different groups should be equal D: The method calculates MS and compares MS, while MS is variance in concept E: The method calculates SS and compares SS, while SS is variance in concept
- 4
The evaluation index of variance analysis in EVM include ( )。 A: Schedule variance (SV) B: Cost performance index (CPI) C: Cost variance (CV) D: Project performance index (PPI)