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Excel 2007 for biological and life sciences statistics a guide to solving practical problems /
Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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2
Excel 2013 for biological and life sciences statistics : a guide to solving practical problems /
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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3
Excel 2013 for business statistics : a guide to solving practical business problems /
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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4
Excel 2007 for educational and psychological statistics a guide to solving practical problems /
Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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5
Excel 2019 for business statistics a guide to solving practical problems /
Table of Contents: “…Intro -- Preface -- Acknowledgements -- Contents -- Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.1 Mean -- 1.2 Standard Deviation -- 1.3 Standard Error of the Mean -- 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.4.1 Using the Fill/Series/Columns Commands -- 1.4.2 Changing the Width of a Column -- 1.4.3 Centering Information in a Range of Cells -- 1.4.4 Naming a Range of Cells -- 1.4.5 Finding the Sample Size Using the =COUNT Function -- 1.4.6 Finding the Mean Score Using the =AVERAGE Function…”
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6
A student's guide to data and error analysis /
Table of Contents: “…Combining uncertainties -- Systematic deviations due to random errors -- Characteristic function -- From binomial to normal distributions -- Central limit theorem -- Estimation of th varience -- Standard deviation of the mean -- Weight factors when variances are not equal -- Least squares fitting -- Python codes -- Scientific data.…”
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Excel 2019 for Physical Sciences Statistics : A Guide to Solving Practical Problems /
Table of Contents: “…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.…”
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8
Excel 2019 for educational and psychological statistics a guide to solving practical problems /
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 -- 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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9
Automating vibrational spectroscopy data preprocessing and multivariate analysis with MATLAB® /
Table of Contents: “…Automating mean and standard deviations calculations: an example -- References.…”
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Doubt-free uncertainty in measurement : an introduction for engineers and students /
Table of Contents: “…""; ""Final reminder ""; ""Chapter 3""; ""Standard Uncertainty of a Measurement""; ""Finding the Standard Uncertainty when an Uncertainty Is Quoted at a Certain Level of Confidence""; ""Finding the Standard Uncertainty when an Elemental Uncertainty Is Given as a Standard Deviation with No Information About the Sample Size""…”
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13
Finding ghosts in your data : anomaly detection techniques with examples in Python /
Table of Contents: “…Limit Nonmeaningful Information -- Enable "Connecting the Dots" -- Conclusion -- Chapter 3: Formalizing Anomaly Detection -- The Importance of Formalization -- "I'll Know It When I See It" Isn't Enough -- Human Fallibility -- Marginal Outliers -- The Limits of Visualization -- The First Formal Tool: Univariate Analysis -- Distributions and Histograms -- The Normal Distribution -- Mean, Variance, and Standard Deviation -- Additional Distributions -- Log-Normal -- Uniform -- Cauchy -- Robustness and the Mean -- The Susceptibility of Outliers -- The Median and "Robust" Statistics…”
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14
Technical Mathematics
Table of Contents: “…Module 1: Order of Operations -- Module 2: Negative Numbers -- Module 3: Decimals -- Module 4: Fractions -- Module 5: Accuracy and Significant Figures -- Module 6: Precision and GPE -- Module 7: Formulas -- Module 8: Perimeter and Circumference -- Module 9: Percents Part 1 -- Module 10: Ratios, Rates, Proportions -- Module 11: Scientific Notation -- Module 12: Percents Part 2 and Error Analysis -- Module 13: The US Measurement System -- Module 14: The Metric System -- Module 15: Converting Between Systems -- Module 16: Other Conversions -- Module 17: Angles -- Module 18: Triangles -- Module 19: Area of Polygons and Circles -- Module 20: Composite Figures -- Module 21: Converting Units of Area -- Module 22: Surface Area of Common Solids -- Module 23: Area of Regular Polygons -- Module 24: Volume of Common Solids -- Module 25: Converting Units of Volume -- Module 26: Pyramids and Cones -- Module 27: Percents Part 3 -- Module 28: Mean, Median, Mode -- Module 29: Probability -- Module 30: Standard Deviation…”
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15
Quantitative Trading Strategies Using Python : Technical Analysis, Statistical Testing, and Machine Learning /
Table of Contents: “…The 1+R Format -- The Terminal Return -- Stock Return with Dividends -- Multiperiod Return -- Annualizing Returns -- Calculating Single-Period Returns from Price Data -- Calculating Two-Period Terminal Return -- Calculating Annualized Returns -- Analyzing Risk -- Introducing Variance and Standard Deviation -- Annualizing Volatility -- Combining Risk and Return via the Sharpe Ratio -- Working with Stock Price Data -- Calculating the Mean, Variance, and Standard Deviation -- Calculating the Annualized Volatility -- Calculating the Annualized Returns -- Calculating the Sharpe Ratio -- Summary…”
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16
A panorama of statistics : perspectives, puzzles and paradoxes in statistics /
Table of Contents: “…-- How statistics differs from mathematics -- Statistical literacy- essential in the 21st century -- Statistical inquiry on the web -- Part II Statistical description -- Trustworthy statistics are accurate, meaningful and relevant -- Let's hear it for the standard deviation! -- Index numbers- time travel for averages -- The beguiling ways of bad statistics I -- The beguiling ways of bad statistics II -- Part III Preliminaries to inference -- Puzzles and paradoxes in probability -- Some paradoxes of randomness -- Hidden risks for gamblers -- Models in statistics -- The normal distribution: history, computation and curiosities -- Part IV Statistical inference -- The pillars of applied statistics- estimation -- The pillars of applied statistics- hypothesis testing -- 'Data snooping' and the significance level in multiple testing -- Francis Galton and the birth of regression -- Experimental design- piercing the veil of random variation -- In praise of Bayes -- Part V Some statistical byways -- Quality in statistics -- History of ideas: statistical personalities and the personalities of statisticians -- Statistical eponymy -- Statistical 'laws' -- Statistical artefacts -- Part VI Answers -- Answers to the chapter questions.…”
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17
What the luck? : the surprising role of chance in our everyday lives /
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18
Systems and software development, modeling, and analysis : new perspectives and methodologies /
Table of Contents: “…Bruce -- Context inference engine (CiE): classifying activity of context using minkowski distance and standard deviation-based ranks / Umar Mahmud, Muhammad Younus Javed -- Simple system dynamics and control system project models / A.S. …”
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DRI, dietary reference intakes the essential guide to nutrient requirements /
Table of Contents: “…Appendixes: Acknowledgments ; Biographical sketches ; Methods ; Glossary and acronyms ; DRI values for indispensable amino acids by life stage and gender group ; Conversions ; Iron intakes and estimated percentiles of the distribution of iron requirements from the Continuing survey of food intakes by individuals (CSFII), 1994-1996 -- Standard deviation of requirements for nutrients with an EAR -- Estimates of within-subject variation in intake -- Summary tables, Dietary Reference Intakes.…”
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20
Oracle ADF enterprise application development-made simple : successfully plan, develop, test, and deploy enterpise applications with Oracle ADF /
Table of Contents: “…Deciding how to build itDeciding how much to build at a time; Deciding how much to build yourself; Deciding how to integrate; Application architecture; Example Work Breakdown Structure; Estimating the solution; Top-down estimate; Bottom-up estimate; Three-point estimates; Grouping -- simple, normal, and hard; More input, better estimates; Adding it all up -- the final estimate; Swings and roundabouts; Calculating the standard deviation for a task; Calculating the standard deviation for a project; Sanity check; From effort to calendar time; Summary; Chapter 3:Getting Organized.…”
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