Microsoft Excelâ„¢ as a Tool for Teaching Basic Statistics

Teaching of Psychology

Volumn 28, Issue 4, 2001, Pages 295-298

  Warner, C Bruce ^a   Meehan, Anita M ^a  

^a KUTZTOWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035539804     PISSN: 00986283     EISSN: 15322802     Source Type: Journal    
DOI: 10.1207/S15328023TOP2804_11     Document Type: Article

References (13)

1. Berk K. N. Carey P. (2000). Data analysis with Microsoft Excel: Updated for Office 2000. Pacific Grove, CA: Brooks/Cole.
2. Davis P. (1997). What computer skills do employers expect from recent graduates? T.H.E. Journal, 24, 74–78.
3. Davis P. (1999). How undergraduates learn computer skills: Results of a survey and a focus group. T.H.E. Journal, 26, 68–71.
4. Dretzke B. J. Heilman K. A. (1998). Statistics with Microsoft Excel. Upper Saddle River, NJ: Prentice Hall.
5. Henle M. G. (1995). Forget not the lowly spreadsheet. The College Mathematics Journal, 26, 320–328.
6. Levine D. M. Berenson M. L. Stephan D. (1999). Statistics for managers using Microsoft Excel. Upper Saddle River, NJ: Prentice-Hall.
7. McCullough B. D. Wilson B. (1999). On the accuracy of statistical procedures in Microsoft Excel 97. Computational Statistics & Data Analysis, 31, 27–37.
8. Meehan A.M. Warner C. B. (2000). Elementary data analysis using Microsoft Excel. New York: McGraw-Hill.
9. Middleton M. R. (2000). Data analysis using Microsoft Excel. (2nd ed.). Pacific Grove, CA: Brooks/Cole.
10. Neufeld J. L. (1998). Learning business statistics with Microsoft Excel 97. Upper Saddle River, NJ: Prentice Hall.
11. Olsten Corporation. (1996). Managing and developing the new workforce. Melville, NY: Author.
12. Pelosi M. K. Sandifer T. M. (1999). Doing statistics for business with Excel: Data, inference and decision making. New York: Wiley.
13. Sawitzki G. (1994). Report on the reliability of data analysis systems. Computational Statistics & Data Analysis, 18, 289–301.