Data in Excel Mining: student achievement statistical analysis of actual combat Introduction

Foreword

  Exam as a measure of teaching effectiveness and student teachers with the knowledge to check the degree of measurement tools, an important role in the daily school teaching possession. The face of student achievement, achievement data to do statistical analysis, can help make teaching and administrative effectiveness of teaching quality assessment and comparison of various teaching strategies, timely adjustment of teaching direction; leader can help families discover the discipline and teaching problems weak links, timely adjustment of undergraduate teaching content; can help the teacher better understand the pros and cons of the various disciplines of this class, timely coordination of the timing of subject teachers teaching and students learning guide direction, counter poverty and do a good job training and excellent work; to help families teachers of a clear understanding of whether students achieve the desired learning objectives, whether their teaching plans need to be adjusted, you may say good job; to help students understand the problems and advantages of their own learning, to adjust their learning, improve their learning efficiency .
  The author has been responsible for scores of statistical work areas Area, suffer has not found a reference book dedicated to student performance on the application of EXCEL conduct statistical analysis, with the majority of the schools to educate more and more pressing needs of data analysis, following the author based EXCEL2010 version, with three days of the midterm examination result data, for example, through an operation instance, introduced one by one to do a statistical analysis of the results, which usually takes it comes to knowledge of statistics and statistical indicators, various statistical functions implemented in the EXCEL spreadsheet process, and explain the significance of doing so.
Read the object of this example is the vast number of primary and secondary school educators and administrators achievement data, for people with certain EXCEL operating basis, but also for readers need to understand or improve the application of statistics in primary and secondary education statistics.
  Micro-channel public number (iSTEAM) in this instance part of the formula or statistical ideas from the Internet and various educational literature, in this example were made a clear mark, if wrong place, welcome attention to paper-based or send an email to the author e-mail ([email protected]), your suggestion will work is the driving force of the author, to jointly promote the development of primary and secondary education statistics.
Editor
November 2019 Thursday 7th

【table of Contents】

• [Introduction]
• Chapter 1 overall analysis of test scores table
  • 1.1 abnormal data investigation
  • 1.2 use the "descriptive statistics" on an overall analysis of the results
    • Example 1-2
• Chapter 2 count the number of scores section
  • Pivot 2.1 using statistical data table scores section
    • Examples 2-1
  • 2.2 countifs function using the statistical number of points each segment
    • Example 2-2
  • 2.3 The number of statistical functions with other scores section
  • FIG normal 2.4
    • Examples 2-4
• Chapter 3 a minute away from all three rates and rate
  • Calculating a rate of 3.1 in three
  • Calculated from the average rate of 3.2
    • Example 3-2
• Application of Chapter 4 Correlation Analysis
  • 4.1 using the "correlation coefficient" correlation analysis tool
    • Example 4-1
  • 4.2 Draw a scatter plot and regression equation
    • Examples 4-2
• Chapter 5 ranking
  • 5.1 Use the rank function rank
    • 5.1.1 RANK function syntax and usage
    • Application 5.1.2 RANK function
  • 5.2 using the "Rank and Percentile" analysis tool to achieve ranking
    • Examples 5-2
  • 5.3 calculate standard scores and rankings
• Chapter 6 write performance analysis report
  • 6.1 Analysis Report Process
  • 6.2 Overall overview
  • 6.3 Analysis of results
  • 6.4 horizontal comparison results
  • 6.5 Production from the previous average rate of change exam chart
  • 6.6 a previous examination of the case in three
  • 6.7 training excellent situation in Helping
• [Conclusion]
• 【references】

【references】

• [1] average: "Education Statistics and Measurement Evaluation of New Course" on page 19 Editor: Huangguang Yang East China Normal University Press, 2019 edition...
• [2] median: "Statistics" 108, Chuci Wang Yuliang Wang Jingtao edited by Tsinghua University Press, 2012 edition.....
• [3] The mode: "Statistics" 106, Chuci Wang Yuliang Wang Jingtao edited by Tsinghua University Press, 2012 edition.....
• [4] standard deviation: "Education Statistics and Measurement Evaluation of New Course" on page 22 Editor: Huangguang Yang East China Normal University Press, 2019 edition...
• [5] kurtosis:... "Statistics" 122 Chuci Wang Yuliang Wang Jingtao edited by Tsinghua University Press, 2012 edition...
• [6] skewness:... "Statistics" 122 Chuci Wang Yuliang Wang Jingtao edited by Tsinghua University Press, 2012 edition...
• [7] The coefficient of variation: "Education Statistics and Measurement Evaluation New Tutorial" on page 25 Editor: Huangguang Yang East China Normal University Press, 2019 edition...
• [8] "Statistics" 110. Chuci. Wang Yuliang. Wang Jingtao edited by Tsinghua University Press, 2012 edition.
• [9] discrimination: "Education Statistics and Measurement Evaluation New Tutorial" on page 82. Editor: Huangguang Yang East China Normal University Press, 2019 edition...
• [10] calculating distinguished: Baidu library: https: //wenku.baidu.com/view/b16e1f8fa0116c175f0e48b3.html
• [11] EXCEL graph showing how the state CKS Detailed drawing method, Baidu library: https: //wenku.baidu.com/view/0d9358fc866fb84ae55c8dd7.html
• [12] using the NORMDIST function, source Baidu Encyclopedia: https: //baike.baidu.com/item/NORMDIST/7257202 fr = aladdin?
• [13] The number of statistics for each segment https://wenku.baidu.com/view/316a144327d3240c8447ef43.html score with EXCEL
• [14] "SPSS data analysis based on (Fourth Edition)" on page 201. Xue Wei, eds., Renmin University of China Press. July 2017 Fourth Edition
• [15] Huangguang Yang. "Education Statistics and Measurement Evaluation New Tutorial" on page 37. 2019 edition of East China Normal University Press.
• [16] Di Gong, Jiang Rong. Statistical analysis of student achievement. "Statistics and Applications" 2014.3.1-6.
• [17] Huangguang Yang. "Education Statistics and Measurement Evaluation New Tutorial" on page 30, 2019 edition, East China Normal University Press.
• [18] RANK function, https: //support.office.com/zh-cn/article/rank-%E5%87%BD%E6%95%B0-6a2fc49d-1831-4a03-9d8c-c279cf99f723
• [19] PERCENTRANK function, https: //support.office.com/zh-cn/article/percentrank-%E5%87%BD%E6%95%B0-f1b5836c-9619-4847-9fc9-080ec9024442
• [20] Songxuan East China Normal University High School should use the standard score. "Exam Luntan" 2009.10.011.