標題: Titlebook: Excel 2013 for Social Sciences Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 The Editor(s) (if applicable) and The Author( [打印本頁] 作者: Agoraphobia 時間: 2025-3-21 16:41
書目名稱Excel 2013 for Social Sciences Statistics影響因子(影響力)
書目名稱Excel 2013 for Social Sciences Statistics影響因子(影響力)學科排名
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書目名稱Excel 2013 for Social Sciences Statistics網(wǎng)絡公開度學科排名
書目名稱Excel 2013 for Social Sciences Statistics被引頻次
書目名稱Excel 2013 for Social Sciences Statistics被引頻次學科排名
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書目名稱Excel 2013 for Social Sciences Statistics年度引用學科排名
書目名稱Excel 2013 for Social Sciences Statistics讀者反饋
書目名稱Excel 2013 for Social Sciences Statistics讀者反饋學科排名
作者: Budget 時間: 2025-3-21 23:42 作者: 洞察力 時間: 2025-3-22 02:14
https://doi.org/10.1007/978-3-642-23588-7nd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f作者: 令人作嘔 時間: 2025-3-22 05:38 作者: canvass 時間: 2025-3-22 11:33 作者: Pastry 時間: 2025-3-22 13:20
Finite and Locally Finite Groupsean. 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: Pastry 時間: 2025-3-22 18:09
https://doi.org/10.1007/978-3-319-59495-8 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: Blatant 時間: 2025-3-22 22:41 作者: sigmoid-colon 時間: 2025-3-23 04:59
Inner-Product Spaces, Euclidean Spaces,on 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: 減至最低 時間: 2025-3-23 08:49
https://doi.org/10.1007/978-3-658-42204-2ation mean for the data using either the 95?% confidence interval about the mean (Chap. 3 of this book) or the one-group t-test of the mean (Chap. 4 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: Evacuate 時間: 2025-3-23 12:15 作者: 摘要記錄 時間: 2025-3-23 14:42 作者: Popcorn 時間: 2025-3-23 19:58 作者: 有斑點 時間: 2025-3-23 23:34 作者: 心胸開闊 時間: 2025-3-24 05:59
https://doi.org/10.1007/978-94-011-2080-7st your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appendix C of this book.作者: Mucosa 時間: 2025-3-24 08:04 作者: stroke 時間: 2025-3-24 13:17
Textbook 2015en guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you..Excel, a widely availab作者: 詢問 時間: 2025-3-24 15:27 作者: indicate 時間: 2025-3-24 21:24 作者: enlist 時間: 2025-3-25 02:46
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: GRIEF 時間: 2025-3-25 04:56
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: APRON 時間: 2025-3-25 08:13 作者: Stricture 時間: 2025-3-25 14:02
Correlation and Simple Linear Regression,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: 一小塊 時間: 2025-3-25 19:13
Multiple Correlation and Multiple Regression,on 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: Annotate 時間: 2025-3-25 20:51
One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95?% confidence interval about the mean (Chap. 3 of this book) or the one-group t-test of the mean (Chap. 4 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: 沙漠 時間: 2025-3-26 01:25
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 A of this book. An additional pract作者: 周興旺 時間: 2025-3-26 06:03
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: 奇怪 時間: 2025-3-26 11:18 作者: hidebound 時間: 2025-3-26 16:10 作者: Fluctuate 時間: 2025-3-26 18:25
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: Brochure 時間: 2025-3-26 23:29
Multiple Correlation and Multiple Regression,eeded to write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the corr作者: Gullible 時間: 2025-3-27 02:50
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: Deceit 時間: 2025-3-27 07:52 作者: Arresting 時間: 2025-3-27 12:28 作者: 窗簾等 時間: 2025-3-27 14:21 作者: pessimism 時間: 2025-3-27 19:48 作者: interior 時間: 2025-3-27 22:50
Solution of Elliptic Equations,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: 諄諄教誨 時間: 2025-3-28 03:36 作者: monologue 時間: 2025-3-28 07:41
https://doi.org/10.1007/978-3-658-42204-2 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: 失眠癥 時間: 2025-3-28 11:05
