標(biāo)題: Titlebook: Excel 2016 for Social Science Statistics; A Guide to Solving P Thomas J. Quirk Textbook 20161st edition The Editor(s) (if applicable) and T [打印本頁(yè)] 作者: JOLT 時(shí)間: 2025-3-21 16:52
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書目名稱Excel 2016 for Social Science Statistics影響因子(影響力)學(xué)科排名
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書目名稱Excel 2016 for Social Science Statistics網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Excel 2016 for Social Science Statistics被引頻次學(xué)科排名
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書目名稱Excel 2016 for Social Science Statistics讀者反饋
書目名稱Excel 2016 for Social Science Statistics讀者反饋學(xué)科排名
作者: Fretful 時(shí)間: 2025-3-21 21:39 作者: antenna 時(shí)間: 2025-3-22 03:47
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing, 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作者: Ruptured-Disk 時(shí)間: 2025-3-22 07:27
One-Group t-Test for the Mean,ean. This test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using 作者: surrogate 時(shí)間: 2025-3-22 09:05
Two-Group t-Test of the Difference of the Means for Independent Groups, and one measurement “number” on each of these people. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of people instead of only one group of people. The nine steps for hypothesis-testing using the two-group t-test are presented, including the 作者: comely 時(shí)間: 2025-3-22 16:06 作者: comely 時(shí)間: 2025-3-22 19:50 作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-22 21:27 作者: 火車車輪 時(shí)間: 2025-3-23 03:39 作者: 啟發(fā) 時(shí)間: 2025-3-23 06:13 作者: 助記 時(shí)間: 2025-3-23 11:24 作者: 混合,攙雜 時(shí)間: 2025-3-23 16:22
2570-4605 ormulas and how to use drop-down menus to create formulas in.This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published .Excel 2013 for Social Sciences Statistics., this book is a step-by-step exercise-driven guide for s作者: NEX 時(shí)間: 2025-3-23 20:53 作者: irreparable 時(shí)間: 2025-3-23 22:26
2570-4605 o 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 social science proble978-3-319-39711-5Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: 類型 時(shí)間: 2025-3-24 03:48 作者: Defiance 時(shí)間: 2025-3-24 09:26
, CCQE Cross-Section Measurement,his test, and you will be given specific explanations of how to write both the result and the conclusion of an hypothesis test. Alternative ways to summarize the result of an hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, an作者: Lucubrate 時(shí)間: 2025-3-24 14:02
https://doi.org/10.1007/978-3-030-90376-3sented 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. .) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test you作者: Anal-Canal 時(shí)間: 2025-3-24 15:27 作者: 混亂生活 時(shí)間: 2025-3-24 18:59 作者: Hamper 時(shí)間: 2025-3-25 01:52 作者: 現(xiàn)代 時(shí)間: 2025-3-25 04:31
Michael Makkai,Gonzalo E. Reyes more groups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical social scien作者: Curmudgeon 時(shí)間: 2025-3-25 08:18
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix . of this book. An additional pract作者: kindred 時(shí)間: 2025-3-25 15:35
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,his test, and you will be given specific explanations of how to write both the result and the conclusion of an hypothesis test. Alternative ways to summarize the result of an hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, an作者: 鞠躬 時(shí)間: 2025-3-25 18:20
One-Group t-Test for the Mean,sented 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. .) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test you作者: largesse 時(shí)間: 2025-3-25 20:40 作者: 烤架 時(shí)間: 2025-3-26 03:59
Correlation and Simple Linear Regression,along with the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equation to predic作者: Colonnade 時(shí)間: 2025-3-26 07:54 作者: hematuria 時(shí)間: 2025-3-26 11:31
One-Way Analysis of Variance (ANOVA), more groups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical social scien作者: 注意力集中 時(shí)間: 2025-3-26 16:42 作者: Encumber 時(shí)間: 2025-3-26 16:56
https://doi.org/10.1007/978-3-319-65040-1h you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to print out y作者: 爭(zhēng)論 時(shí)間: 2025-3-26 21:22
, CCQE Cross-Section Measurement, 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作者: concubine 時(shí)間: 2025-3-27 01:30
https://doi.org/10.1007/978-3-030-90376-3ean. This test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using 作者: obstinate 時(shí)間: 2025-3-27 09:04
COHERENT at the Spallation Neutron Source, and one measurement “number” on each of these people. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of people instead of only one group of people. The nine steps for hypothesis-testing using the two-group t-test are presented, including the 作者: 擦掉 時(shí)間: 2025-3-27 13:13
,Characterization of?Backgrounds,research study and only one measurement (i.e., variable) “number” on each of these people. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable and you are trying to discover the “relationship” between these 作者: fixed-joint 時(shí)間: 2025-3-27 17:16
First Order Algebraic Differential Equationson model by using . to predict Y instead of a single predictor as we discussed in Chap. . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighted differently in an equation, to predict Y. The job of multiple correlation作者: 相一致 時(shí)間: 2025-3-27 19:31
Michael Makkai,Gonzalo E. Reyesation mean for the data using either the 95?% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups of people to determine if this difference was a “s作者: 桉樹 時(shí)間: 2025-3-27 22:35 作者: 抗體 時(shí)間: 2025-3-28 04:14 作者: reflection 時(shí)間: 2025-3-28 06:33
Excel 2016 for Social Science Statistics978-3-319-39711-5Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: lanugo 時(shí)間: 2025-3-28 12:46 作者: MAL 時(shí)間: 2025-3-28 14:40
Excel for Statisticshttp://image.papertrans.cn/e/image/318278.jpg作者: 玉米棒子 時(shí)間: 2025-3-28 21:25
