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Volumn , Issue , 2006, Pages 365-408

What you need to know about statistics

Author keywords

Correlation; Distribution; Regression; sampling; Statistical concepts

Indexed keywords


EID: 77958150669     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-28218-1_12     Document Type: Chapter
Times cited : (7)

References (12)
  • 1
    • 84892332908 scopus 로고    scopus 로고
    • It is important when dealing with numbers to identify the measurement units. Age is measured in years
    • It is important when dealing with numbers to identify the measurement units. Age is measured in years.
  • 2
    • 84892283542 scopus 로고    scopus 로고
    • One is subtracted as a corrective measure. Statisticians have found that the variance is underestimated for small samples if we just divide by n
    • One is subtracted as a corrective measure. Statisticians have found that the variance is underestimated for small samples if we just divide by n.
  • 3
    • 84892283859 scopus 로고    scopus 로고
    • As all inferential (i.e. predictive) techniques assume that you have a random sample, you should not violate that assumption by removing projects just because they do not fit your model!
    • As all inferential (i.e. predictive) techniques assume that you have a random sample, you should not violate that assumption by removing projects just because they do not fit your model!.
  • 4
    • 84892305572 scopus 로고    scopus 로고
    • To simplify this complicated discussion, the effort in my example is normally distributed. In practice, this is not the case
    • To simplify this complicated discussion, the effort in my example is normally distributed. In practice, this is not the case.
  • 5
    • 84892205589 scopus 로고    scopus 로고
    • In addition, it has also been shown that if a variable is normally distributed in the population, the sampling distribution of the sample mean is exactly normal no matter what the size of the sample
    • In addition, it has also been shown that if a variable is normally distributed in the population, the sampling distribution of the sample mean is exactly normal no matter what the size of the sample.
  • 6
    • 84892191207 scopus 로고    scopus 로고
    • Telon is a tool that generates code
    • Telon is a tool that generates code.
  • 7
    • 84892261407 scopus 로고    scopus 로고
    • Obviously, a fraction of a project does not exist; however, it is necessary to keep the decimal places for the calculations
    • Obviously, a fraction of a project does not exist; however, it is necessary to keep the decimal places for the calculations.
  • 8
    • 84892357869 scopus 로고    scopus 로고
    • I also prefer Spearman's rank correlation coefficient for quasi-interval variables
    • I also prefer Spearman's rank correlation coefficient for quasi-interval variables.
  • 9
    • 84892224757 scopus 로고    scopus 로고
    • The statistical term "variance" is defined as the sum of squared deviations divided by the number of observations minus one. It is a measure of the average variation of the data. Here I am referring to the total variation of the data (i.e. we don't divide by the number of observations)
    • The statistical term "variance" is defined as the sum of squared deviations divided by the number of observations minus one. It is a measure of the average variation of the data. Here I am referring to the total variation of the data (i.e. we don't divide by the number of observations).
  • 10
    • 84892195106 scopus 로고    scopus 로고
    • In practice, a software manager would probably not consider a 9% difference in percentage of JCL use to be that important, even if it was significant
    • In practice, a software manager would probably not consider a 9% difference in percentage of JCL use to be that important, even if it was significant.
  • 11
    • 84892259752 scopus 로고    scopus 로고
    • Had we been able to reject the null hypothesis in this example, it might not have been because of the differences in the population means, but because of the differences in their variances. When the sample variances for the different groups are very different, as they are in this example, then reject with caution. The ANOVA approach assumes that the population variances are similar
    • Had we been able to reject the null hypothesis in this example, it might not have been because of the differences in the population means, but because of the differences in their variances. When the sample variances for the different groups are very different, as they are in this example, then reject with caution. The ANOVA approach assumes that the population variances are similar.
  • 12
    • 84892223295 scopus 로고    scopus 로고
    • Parametric statistics are only suitable for data measured on interval and ratio scales, where parameters such as the mean of the distribution can be defined
    • Parametric statistics are only suitable for data measured on interval and ratio scales, where parameters such as the mean of the distribution can be defined.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.