Description of software package extract for the characterization of the amplitude and frequency noise properties of cantilevers used for nano-MRI by Smith, Doran D., U.S. Army Research Laboratory

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Excel 2007 for biological and life sciences statistics a guide to solving practical problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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Excel 2010 for social science statistics a guide to solving practical statistics problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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Excel 2007 for social science statistics a guide to solving practical problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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Excel 2013 for social sciences statistics : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Sample Size, Mean, Standard Deviation and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA) -- References -- Appendices -- Index.…”
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Excel 2013 for biological and life sciences statistics : a guide to solving practical problems / by Quirk, Thomas J., Quirk, Meghan, Horton, Howard F., SpringerLink (Online service)

Table of Contents: “…Introduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index.…”
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Excel 2016 in applied statistics for high school students : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Ch 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Ch 2 Random Number Generator -- Ch 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- Ch 4 One-Group t-Test for the Mean -- Ch 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- Ch 6 Correlation and Simple Linear Regression -- Ch 7 Multiple Correlation and Multiple Regression -- Ch 8 One-Way Analysis of Variance (ANOVA).…”
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Excel 2019 for advertising statistics : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Excel 2019 for health services management statistics : a guide to solving problems / by Quirk, Thomas J., Cummings, Simone, SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Excel 2019 in applied statistics for high school students : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Statistics for Human Service Evaluation by York, Reginald O., Sage Knowledge

Table of Contents: “…6 Analyzing Data When You Are Comparing Two Groups Using the Independent t Test and Chi Square7 Analyzing Data When You Are Evaluating a Single Client Using the One-Sample t Test, the Standard Deviation, and the Binomial Test; 8 Explaining Client Gain Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis; 9 A Synopsis of Selected Statistical Tests for Examining Nominal Data Chi Square, Phi Coefficient, Contingency Coefficient, McNemar Test, and Binomial Test…”
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Data Wrangling with JavaScript / by Davis, Ashley, Safari, an O'Reilly Media Company, Safari Books Online

Table of Contents: “…8.7.7 Filtering using queries -- 8.7.8 Discarding data with projection -- 8.7.9 Sorting large data sets -- 8.8 Achieving better data throughput -- 8.8.1 Optimize your code -- 8.8.2 Optimize your algorithm -- 8.8.3 Processing data in parallel -- Summary -- Chapter 9: Practical data analysis -- 9.1 Expanding your toolkit -- 9.2 Analyzing the weather data -- 9.3 Getting the code and data -- 9.4 Basic data summarization -- 9.4.1 Sum -- 9.4.2 Average -- 9.4.3 Standard deviation -- 9.5 Group and summarize -- 9.6 The frequency distribution of temperatures -- 9.7 Time series -- 9.7.1 Yearly average temperature -- 9.7.2 Rolling average -- 9.7.3 Rolling standard deviation -- 9.7.4 Linear regression -- 9.7.5 Comparing time series -- 9.7.6 Stacking time series operations -- 9.8 Understanding relationships -- 9.8.1 Detecting correlation with a scatter plot -- 9.8.2 Types of correlation -- 9.8.3 Determining the strength of the correlation -- 9.8.4 Computing the correlation coefficient -- Summary -- Chapter 10: Browser-based visualization -- 10.1 Expanding your toolkit -- 10.2 Getting the code and data -- 10.3 Choosing a chart type -- 10.4 Line chart for New York City temperature -- 10.4.1 The most basic C3 line chart -- 10.4.2 Adding real data -- 10.4.3 Parsing the static CSV file -- 10.4.4 Adding years as the X axis -- 10.4.5 Creating a custom Node.js web server -- 10.4.6 Adding another series to the chart -- 10.4.7 Adding a second Y axis to the chart -- 10.4.8 Rendering a time series chart -- 10.5 Other chart types with C3 -- 10.5.1 Bar chart -- 10.5.2 Horizontal bar chart -- 10.5.3 Pie chart -- 10.5.4 Stacked bar chart -- 10.5.5 Scatter plot chart -- 10.6 Improving the look of our charts -- 10.7 Moving forward with your own projects -- Summary -- Chapter 11: Server-side visualization -- 11.1 Expanding your toolkit -- 11.2 Getting the code and data.…”
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Excel Formulas & Functions For Dummies by Bluttman, Ken, Safari Books Online

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Basic statistics and regression for machine learning in Python / by Safari Books Online

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