Abstract
With the growing popularity of information technology, statistical software application of statistical knowledge has become the main tool to solve practical problems. Therefore, statistical software, teaching oriented model has become the modern “Probability and Statistics” teaching trends. This paper describes an example principal component analysis in SPSS software application of probability and statistics courses.
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References
Zhang, S.: Research and probe on experiment teaching mode of Probability and Statistics based on SPSS under network environment. Journal of Xi’an University of Posts and Telecommunications 16(1), 145–148
Li, X., Xu, Z.: Dominant Position and Application of SPSS Software in Probability and Statistics Curriculum Set. Journal of Shenyang Normal University (Natural Science) 128(1), 24–26
Li, X., Chen, Z.: Correctly Using SPSS Software for Principal Components Analysis. Statistical Research 27(8), 28–32
Su, Y.: The Application of SPSS in the Statistic Teaching. Computer Knowledge and Technology 6(31), 8892-8893 (2010)
Zhou, M.: Exploring on Problem and Solution of University Students’ Career Planning-Survey and Analysis. Journal of Nanjing University of Finance and Economics (2), 102–105 (2009)
Xu, Q.: Explorations and Practice on the Probability Theory and Mathematical Statistics. College Mathematics 26(1), 10–13
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© 2011 Springer-Verlag Berlin Heidelberg
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Yang, Y., Yuan, S., Feng, L. (2011). Research on SPSS’ Application in Probability and Statistics Course with Principal Components Analysis. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27503-6_14
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DOI: https://doi.org/10.1007/978-3-642-27503-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27502-9
Online ISBN: 978-3-642-27503-6
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