ablate
发表于 2025-3-25 04:42:55
http://reply.papertrans.cn/51/5002/500170/500170_21.png
食料
发表于 2025-3-25 10:20:49
Michael Viertel,Yvonne Ehrenspeck-Kolasa,Anke Spiessteps are presented to test the “friendliness” of the front desk clerk at a hotel using a 10-point rating scale. In addition, the difference between the 95% confidence interval about the mean (Chap. 3) and the one-group t-test is explained. Three practice problems are given at the end of the chapter
MAUVE
发表于 2025-3-25 14:12:03
Iris Lüschen,Barbara Moschner,Catherine Walter-Laagero see if they are “significantly different from each other.” If this overall ANOVA .-test produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA .-test formula. This formula is presented, explained, and a practical example is used delineating
CRASS
发表于 2025-3-25 17:29:04
http://reply.papertrans.cn/51/5002/500170/500170_24.png
Intruder
发表于 2025-3-25 21:17:56
http://reply.papertrans.cn/51/5002/500170/500170_25.png
轻推
发表于 2025-3-26 00:08:58
Daniel Rode,Martin Sternand managers how to apply Excel to statistical techniques necessary in their courses and work..Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter wi
漂亮
发表于 2025-3-26 05:37:18
el to statistical techniques necessary in their courses and work..Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an app
赏钱
发表于 2025-3-26 08:49:50
http://reply.papertrans.cn/51/5002/500170/500170_28.png
过分
发表于 2025-3-26 13:09:58
http://reply.papertrans.cn/51/5002/500170/500170_29.png
collateral
发表于 2025-3-26 18:38:12
confidence interval. You will learn how to estimate the population mean (average) for a group of people (or objects) at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this co