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E-raamat: Excel 2016 for Health Services Management Statistics: A Guide to Solving Problems

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  • Formaat: PDF+DRM
  • Sari: Excel for Statistics
  • Ilmumisaeg: 01-Sep-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319400662
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Excel 2016 for Health Services Management Statistics: A Guide to Solving ProblemsSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Excel for Statistics
  • Ilmumisaeg: 01-Sep-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319400662
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This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively. Similar to the previously published Excel 2013 for Health Services Management Statistics , this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health service management 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 available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health service courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Health Services Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching stude

nts and managers how to apply Excel to 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 health service management 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.

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.

Arvustused

This book demonstrates the capabilities of Microsoft Excel in teaching health services management statistics effectively, providing a step-by-step, exercise-driven guide to help users master Excel to solve practical health service management problems. It is aimed primarily at students at the undergraduate and graduate level, instructors, and managers who are interested in learning how to apply Excel to statistical techniques necessary in their coursework. The book is well referenced at the end of each chapter . (Pooja Sethi, Doody's Book Reviews, December, 2016)

1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
1(20)
1.1 Mean
1(1)
1.2 Standard Deviation
2(1)
1.3 Standard Error of the Mean
3(1)
1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
4(9)
1.4.1 Using the Fill/Series/Columns Commands
4(2)
1.4.2 Changing the Width of a Column
6(1)
1.4.3 Centering Information in a Range of Cells
7(1)
1.4.4 Naming a Range of Cells
8(2)
1.4.5 Finding the Sample Size Using the =COUNT Function
10(1)
1.4.6 Finding the Mean Score Using the =AVERAGE Function
10(1)
1.4.7 Finding the Standard Deviation Using the =STDEV Function
10(1)
1.4.8 Finding the Standard Error of the Mean
10(3)
1.5 Saving a Spreadsheet
13(1)
1.6 Printing a Spreadsheet
14(1)
1.7 Formatting Numbers in Currency Format (Two Decimal Places)
15(2)
1.8 Formatting Numbers in Number Format (Three Decimal Places)
17(1)
1.9 End-of-Chapter Practice Problems
18(3)
References
20(1)
2 Random Number Generator
21(16)
2.1 Creating Frame Numbers for Generating Random Numbers
21(4)
2.2 Creating Random Numbers in an Excel Worksheet
25(2)
2.3 Sorting Frame Numbers into a Random Sequence
27(4)
2.4 Printing an Excel File So That All of the Information Fits onto One Page
31(3)
2.5 End-of-Chapter Practice Problems
34(3)
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
37(32)
3.1 Confidence Interval About the Mean
37(11)
3.1.1 How to Estimate the Population Mean
37(1)
3.1.2 Estimating the Lower Limit and the Upper Limit of the 95 % Confidence Interval About the Mean
38(1)
3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic
39(1)
3.1.4 Where Did the Number "1.96" Come From?
40(1)
3.1.5 Finding the Value for t in the Confidence Interval Formula
41(1)
3.1.6 Using Excel's TINV Function to Find the Confidence Interval About the Mean
42(1)
3.1.7 Using Excel to Find the 95 % Confidence Interval for a Clinic's Outpatient Visits
42(6)
3.2 Hypothesis Testing
48(11)
3.2.1 Hypotheses Always Refer to the Population That You Are Studying
49(1)
3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis
49(4)
3.2.3 The 7 Steps for Hypothesis-Testing Using the Confidence Interval About the Mean
53(6)
3.3 Alternative Ways to Summarize the Result of a Hypothesis Test
59(2)
3.3.1 Different Ways to Accept the Null Hypothesis
60(1)
3.3.2 Different Ways to Reject the Null Hypothesis
60(1)
3.4 End-of-Chapter Practice Problems
61(8)
References
67(2)
4 One-Group t-Test for the Mean
69(16)
4.1 The 7 STEPS for Hypothesis-Testing Using the One-Group t-Test
69(5)
4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis
70(1)
4.1.2 STEP 2: Select the Appropriate Statistical Test
70(1)
4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test
70(1)
4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test
71(1)
4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E
72(1)
4.1.6 STEP 6: State the Result of Your Statistical Test
73(1)
4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English!
74(1)
4.2 One-Group t-Test for the Mean
74(6)
4.3 Can You Use Either the 95 % Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses?
80(1)
4.4 End-of-Chapter Practice Problems
80(5)
References
84(1)
5 Two-Group t-Test of the Difference of the Means for Independent Groups
85(30)
5.1 The Nine STEPS for Hypothesis-Testing Using the Two-Group t-Test
86(9)
5.1.1 STEP 1: Name one Group, Group 1, and the Other Group, Group 2
86(1)
5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group
86(2)
5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test
88(1)
5.1.4 STEP 4: Select the Appropriate Statistical Test
88(1)
5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test
88(1)
5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test
89(1)
5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E
89(1)
5.1.8 STEP 8: State the Result of Your Statistical Test
90(1)
5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English!
90(5)
5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30
95(8)
5.2.1 An Example of Formula #1 for the Two-Group t-Test
96(7)
5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30
103(8)
5.4 End-of-Chapter Practice Problems
111(4)
References
114(1)
6 Correlation and Simple Linear Regression
115(46)
6.1 What Is a "Correlation?"
115(7)
6.1.1 Understanding the Formula for Computing a Correlation
120(1)
6.1.2 Understanding the Nine Steps for Computing a Correlation, r
120(2)
6.2 Using Excel to Compute a Correlation Between Two Variables
122(5)
6.3 Creating a Chart and Drawing the Regression Line onto the Chart
127(11)
6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points
129(9)
6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page
138(2)
6.5 Finding the Regression Equation
140(10)
6.5.1 Installing the Data Analysis ToolPak into Excel
141(3)
6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression
144(4)
6.5.3 Finding the Equation for the Regression Line
148(1)
6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value
149(1)
6.6 Adding the Regression Equation to the Chart
150(3)
6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table
153(1)
6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet
153(2)
6.8.1 Printing Only the Table and the Chart on a Separate Page
154(1)
6.8.2 Printing Only the Chart on a Separate Page
154(1)
6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page
155(1)
6.9 End-of-Chapter Practice Problems
155(6)
References
160(1)
7 Multiple Correlation and Multiple Regression
161(18)
7.1 Multiple Regression Equation
161(3)
7.2 Finding the Multiple Correlation and the Multiple Regression Equation
164(4)
7.3 Using the Regression Equation to Predict FIRST-YEAR GPA
168(1)
7.4 Using Excel to Create a Correlation Matrix in Multiple Regression
168(4)
7.5 End-of-Chapter Practice Problems
172(7)
References
177(2)
8 One-Way Analysis of Variance (ANOVA)
179(18)
8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA)
181(2)
8.2 How to Interpret the ANOVA Table Correctly
183(1)
8.3 Using the Decision Rule for the ANOVA F-Test
184(1)
8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test
185(5)
8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test
186(4)
8.5 End-of-Chapter Practice Problems
190(7)
References
195(2)
Appendices
197(60)
Appendix A Answers to End-of-Chapter Practice Problems
197(33)
Appendix B Practice Test
230(12)
Appendix C Answers to Practice Test
242(11)
Appendix D Statistical Formulas
253(2)
Appendix E t-Table
255(2)
Index 257
At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service.  He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies.  He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings.  He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.





Simone Cummings has worked for several hospitals in St. Louis, Missouri, and Washington, D.C. She is currently an Associate Professor of Healthcare Management in The Walker School of Business & Technology at Webster University in St. Louis, Missouri, where she teaches Statistics for Healthcare Management and Healthcare Finance. She holds a B.S.B.A. from Washington University in St. Louis, an M.H.A. from the Washington University School of Medicine, and a Ph.D. in Health Policy and Administration from the University of North Carolina at Chapel Hill.
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