Excel 2010 for Physical Sciences Statistics : A Guide to Solving Practical Problems / / by Thomas J Quirk, Meghan Quirk, Howard Horton

• Autore: Quirk Thomas J
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
• Edizione: 1st ed. 2013.
• Descrizione fisica: 1 online resource (XVII, 248 p. 159 illus., 158 illus. in color.)
• Disciplina: 005.369
• Soggetto topico: Statistics ; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics, general
• Persona (resp. second.): QuirkMeghan; HortonHoward
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 -- 1.4.7 Finding the Standard Deviation Using the=STDEV Function -- 1.4.8 Finding the Standard Error of the Mean -- 1.4.8.1 Formatting Numbers in Number Format (2 decimal places) -- 1.5 Saving a Spreadsheet -- 1.6 Printing a Spreadsheet -- 1.7 Formatting Numbers in Currency Format (2 decimal places) -- 1.8 Formatting Numbers in Number Format (3 decimal places) -- 1.9 End-of-Chapter Practice Problems -- References -- Chapter 2: Random Number Generator -- 2.1 Creating Frame Numbers for Generating Random Numbers -- 2.2 Creating Random Numbers in an Excel Worksheet -- 2.3 Sorting Frame Numbers into a Random Sequence -- 2.4 Printing an Excel File So That All of the Information Fits Onto One Page -- 2.5 End-of-Chapter Practice Problems -- Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 3.1 Confidence Interval About the Mean -- 3.1.1 How to Estimate the Population Mean -- 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95 Percent Confidence Interval About the Mean -- 3.1.3 Estimating the Confidence Interval for the Chevy Impala in Miles Per Gallon -- 3.1.4 Where Did the Number ``1.96´´ Come From? -- 3.1.5 Finding the Value for t in the Confidence Interval Formula. ; 3.1.6 Using Excel´s TINV Function to Find the Confidence Interval About the Mean -- 3.1.7 Using Excel to find the 95 Percent Confidence Interval for a Car´s mpg Claim -- 3.2 Hypothesis testing -- 3.2.1 Hypotheses Always Refer to the Population of Physical Properties that You Are Studying -- 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis -- 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales are Used -- 3.2.3 The 7 Steps for Hypothesis-testing Using the Confidence Interval About the Mean -- 3.2.3.1 STEP 1: State the null hypothesis and the research hypothesis -- 3.2.3.2 STEP 2: Select the appropriate statistical test -- 3.2.3.3 STEP 3: Calculate the formula for the statistical test -- 3.2.3.4 STEP 4: Draw a picture of the confidence interval about the mean, including the mean, the lower limit of the interval,... -- 3.2.3.5 STEP 5: Decide on a decision rule -- 3.2.3.6 STEP 6: State the result of your statistical test. -- 3.2.3.7 STEP 7: State the conclusion of your statistical test in plain English! -- 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test -- 3.3.1 Different Ways to Accept the Null Hypothesis -- 3.3.2 Different Ways to Reject the Null Hypothesis -- 3.4 End-of-Chapter Practice Problems -- References -- Chapter 4: One-Group t-Test for the Mean -- 4.1 The 7 STEPS for Hypothesis-testing Using the One-group t-test -- 4.1.1 STEP 1: State the null hypothesis and the research hypothesis -- 4.1.2 STEP 2: Select the appropriate statistical test -- 4.1.3 STEP 3: Decide on a decision rule for the one-group t-test -- 4.1.3.1 Finding the Absolute Value of a Number -- 4.1.4 STEP 4: Calculate the formula for the one-group t-test -- 4.1.5 STEP 5: Find the critical value of t in the t-table in Appendix E -- 4.1.6 STEP 6: State the result of your statistical test. ; 4.1.7 STEP 7: State the conclusion of your statistical test in plain English! -- 4.2 One-group t-test for the mean -- 4.3 Can You Use Either the 95 Percent Confidence Interval About the Mean OR the One-Group t-test When Testing Hypotheses? -- 4.4 End-of-Chapter Practice Problems -- References -- Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups -- 5.1 The 9 STEPS for Hypothesis-testing Using the Two-group t-test -- 5.1.1 STEP 1: Name one group, Group 1, and the other group, Group 2 -- 5.1.2 STEP 2: Create a table that summarizes the sample size, mean score, and standard deviation of each group -- 5.1.3 STEP 3: State the null hypothesis and the research hypothesis for the two-group t-test -- 5.1.4 STEP 4: Select the appropriate statistical test -- 5.1.5 STEP 5: Decide on a decision rule for the two-group t-test -- 5.1.6 STEP 6: Calculate the formula for the two-group t-test -- 5.1.7 STEP 7: Find the critical value of t in the t-table in Appendix E -- 5.1.7.1 Finding the degrees of freedom (df) for the Two-group t-test -- 5.1.8 STEP 8: State the result of your statistical test -- 5.1.9 STEP 9: State the conclusion of your statistical test in plain English! -- 5.1.9.1 Writing the Conclusion of the Two-group t-test When You Accept the Null Hypothesis -- 5.1.9.2 Writing the Conclusion of the Two-group t-test When You Reject the Null Hypothesis and Accept the Research Hypothesis -- 5.2 FORMULA #1: Both Groups Have a Sample Size Greater Than 30 -- 5.2.1 An example of Formula #1 for the Two-group t-test -- 5.3 FORMULA #2: One or Both Groups Have a Sample Size Less Than 30 -- 5.4 End-of-Chapter Practice Problems -- References -- Chapter 6: Correlation and Simple Linear Regression -- 6.1 What is a ``Correlation?´´ -- 6.1.1 Understanding the Formula for Computing a Correlation. ; 6.1.2 Understanding the Nine Steps for Computing a Correlation, r -- 6.2 Using Excel to Compute a Correlation Between Two Variables -- 6.3 Creating a Chart and Drawing the Regression Line onto the Chart -- 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points -- 6.3.1.1 Moving the Chart Below the Table in the Spreadsheet -- 6.3.1.2 Making the Chart ``Longer´´ so that it is ``Taller´´ -- 6.3.1.3 Making the Chart ``Wider´´ -- 6.3.1.4 Drawing the Regression Line Through the Data Points in the Chart -- 6.4 Printing a Spreadsheet So That the Table and Chart Fit Onto One Page -- 6.5 Finding the Regression Equation -- 6.5.1 Installing the Data Analysis ToolPak into Excel -- 6.5.1.1 Installing the Data Analysis ToolPak into Excel 2010 -- 6.5.1.2 Installing the Data Analysis ToolPak into Excel 2007 -- 6.5.1.3 Installing the Data Analysis ToolPak into Excel 2003 -- 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression -- 6.5.2.1 Finding the y-intercept, a, of the Regression Line -- 6.5.2.2 Finding the Slope, b, of the Regression Line -- 6.5.3 Finding the Equation for the Regression Line -- 6.5.4 Using the Regression Line to Predict the y-value for a Given x-value -- 6.6 Adding the Regression Equation to the Chart -- 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table -- 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet -- 6.8.1 Printing Only the Table and the Chart on a Separate Page -- 6.8.2 Printing Only the Chart on a Separate Page -- 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page -- 6.9 End-Of-Chapter Practice Problems -- References -- Chapter 7: Multiple Correlation and Multiple Regression -- 7.1 Multiple Regression Equation -- 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. ; 7.3 Using the Regression Equation to Predict FROSH GPA -- 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression -- 7.5 End-of-Chapter Practice Problems -- References -- Chapter 8: One-Way Analysis of Variance (ANOVA) -- 8.1 Using Excel to Perform a One-way Analysis of Variance (ANOVA) -- 8.2 How to Interpret the ANOVA Table Correctly -- 8.3 Using the Decision Rule for the ANOVA F-test -- 8.4 Testing the Difference Between Two Groups using the ANOVA t-test -- 8.4.1 Comparing Brand A vs. Brand C in Miles Driven Using the ANOVA t-test -- 8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-test -- 8.4.1.2 Stating the Decision Rule for the ANOVA t-test -- 8.4.1.3 Performing an ANOVA t-test Using Excel commands -- 8.5 End-of-Chapter Practice Problems -- References -- Appendix A: Answers to End-of-Chapter Practice ProblemsChapter 1: Practice Problem #1 Answer (see Fig. A.1)Chapter 1: Practice P... -- Appendix B: Practice TestChapter 1: Practice TestSuppose that you were hired as a research assistant on a project involving conc... -- Appendix C: Answers to Practice TestPractice Test Answer: Chapter 1 (see. Fig. C.1)Practice Test Answer: Chapter 2 (see. Fig. C.... -- Appendix D: Statistical FormulasMean \hskip 130pt{\bar X\, = \,\frac{{\sum X }}{n} Standard Deviation {\mathrm ST... -- Appendix E: t-TableCritical t-values needed for rejection of the null hypothesis (see Fig. E.1) -- Index.
• Sommario/riassunto: This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical 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. 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 with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. · Includes 159 illustrations in color. · Suitable for undergraduates or graduate students. Professor. Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, as well as an M.B.A. from the University of Missouri-St. Louis. Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado. Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long-Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.
• Titolo autorizzato: Excel 2010 for Physical Sciences Statistics
• ISBN: 3-319-00630-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910438034403321
• Lo trovi qui: Univ. Federico II