Muutke küpsiste eelistusi

E-raamat: Excel 2013 for Health Services Management Statistics: A Guide to Solving Practical Problems

  • Formaat: PDF+DRM
  • Sari: Excel for Statistics
  • Ilmumisaeg: 21-Mar-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319289854
  • Formaat - PDF+DRM
  • Hind: 55,56 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Sari: Excel for Statistics
  • Ilmumisaeg: 21-Mar-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319289854

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book shows how Microsoft Excel is able to teach health services management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management problems.  If understanding statistics isnt 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 services management courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students 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 services 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.
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(8)
1.4.1 Using the Fill/Series/Columns Commands
4(1)
1.4.2 Changing the Width of a Column
5(1)
1.4.3 Centering Information in a Range of Cells
6(2)
1.4.4 Naming a Range of Cells
8(1)
1.4.5 Finding the Sample Size Using the =COUNT Function
9(1)
1.4.6 Finding the Mean Score Using the =AVERAGE Function
9(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(2)
1.5 Saving a Spreadsheet
12(1)
1.6 Printing a Spreadsheet
13(2)
1.7 Formatting Numbers in Currency Format (Two Decimal Places)
15(1)
1.8 Formatting Numbers in Number Format (Three Decimal Places)
16(1)
1.9 End-of-Chapter Practice Problems
17(2)
References
19(2)
2 Random Number Generator 21(14)
2.1 Creating Frame Numbers for Generating Random Numbers
21(3)
2.2 Creating Random Numbers in an Excel Worksheet
24(2)
2.3 Sorting Frame Numbers into a Random Sequence
26(3)
2.4 Printing an Excel File So That All of the Information Fits onto One Page
29(4)
2.5 End-of-Chapter Practice Problems
33(2)
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing 35(30)
3.1 Confidence Interval About the Mean
35(11)
3.1.1 How to Estimate the Population Mean
35(1)
3.1.2 Estimating the Lower Limit and the Upper Limit of the 95 % Confidence Interval About the Mean
36(1)
3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic
37(1)
3.1.4 Where Did the Number "1.96" Come from?
38(1)
3.1.5 Finding the Value for tin the Confidence Interval Formula
39(1)
3.1.6 Using Excel's TINV Function to Find the Confidence Interval About the Mean
40(1)
3.1.7 Using Excel to Find the 95 % Confidence Interval for a Clinic's Outpatient Visits
40(6)
3.2 Hypothesis Testing
46(11)
3.2.1 Hypotheses Always Refer to the Population That You Are Studying
46(1)
3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis
47(4)
3.2.3 The 7 Steps for Hypothesis-Testing Using the Confidence Interval About the Mean
51(6)
3.3 Alternative Ways to Summarize the Result of a Hypothesis Test
57(1)
3.3.1 Different Ways to Accept the Null Hypothesis
58(1)
3.3.2 Different Ways to Reject the Null Hypothesis
58(1)
3.4 End-of-Chapter Practice Problems
58(5)
References
63(2)
4 One-Group t-Test for the Mean 65(16)
4.1 The 7 STEPS for Hypothesis-Testing Using the One-Group t-Test
65(5)
4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis
66(1)
4.1.2 STEP 2: Select the Appropriate Statistical Test
66(1)
4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test
66(1)
4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test
67(1)
4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E
68(1)
4.1.6 STEP 6: State the Result of Your Statistical Test
69(1)
4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English!
69(1)
4.2 One-Group t-Test for the Mean
70(6)
4.3 Can You Use Either the 95 % Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses?
76(1)
4.4 End-of-Chapter Practice Problems
76(4)
References
80(1)
5 Two-Group t-Test of the Difference of the Means for Independent Groups 81(28)
5.1 The 9 STEPS for Hypothesis-Testing Using the Two-Group t-Test
82(9)
5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2
82(1)
5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group
82(2)
5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test
84(1)
5.1.4 STEP 4: Select the Appropriate Statistical Test
84(1)
5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test
84(1)
5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test
85(1)
5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E
85(1)
5.1.8 STEP 8: State the Result of Your Statistical Test
86(1)
5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English!
86(5)
5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30
91(8)
5.2.1 An Example of Formula #1 for the Two-Group t-Test
92(7)
5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30
99(7)
5.4 End-of-Chapter Practice Problems
106(2)
References
108(1)
6 Correlation and Simple Linear Regression 109(46)
6.1 What Is a "Correlation?"
109(7)
6.1.1 Understanding the Formula for Computing a Correlation
114(1)
6.1.2 Understanding the Nine Steps for Computing a Correlation, r
114(2)
6.2 Using Excel to Compute a Correlation Between Two Variables
116(5)
6.3 Creating a Chart and Drawing the Regression Line onto the Chart
121(11)
6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points
123(9)
6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page
132(2)
6.5 Finding the Regression Equation
134(9)
6.5.1 Installing the Data Analysis ToolPak into Excel
135(3)
6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression
138(3)
6.5.3 Finding the Equation for the Regression Line
141(1)
6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value
142(1)
6.6 Adding the Regression Equation to the Chart
143(3)
6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table
146(1)
6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet
146(2)
6.8.1 Printing Only the Table and the Chart on a Separate Page
147(1)
6.8.2 Printing Only the Chart on a Separate Page
147(1)
6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page
148(1)
6.9 End-of-Chapter Practice Problems
148(5)
References
153(2)
7 Multiple Correlation and Multiple Regression 155(18)
7.1 Multiple Regression Equation
155(3)
7.2 Finding the Multiple Correlation and the Multiple Regression Equation
158(4)
7.3 Using the Regression Equation to Predict FIRST-YEAR GPA
162(1)
7.4 Using Excel to Create a Correlation Matrix in Multiple Regression
162(4)
7.5 End-of-Chapter Practice Problems
166(5)
References
171(2)
8 One-Way Analysis of Variance (ANOVA) 173(18)
8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA)
175(2)
8.2 How to Interpret the ANOVA Table Correctly
177(1)
8.3 Using the Decision Rule for the ANOVA F-Test
178(1)
8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test
179(5)
8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test
180(4)
8.5 End-of-Chapter Practice Problems
184(5)
References
189(2)
Appendices 191(60)
Appendix A Answers to End-of-Chapter Practice Problems
191(33)
Appendix B Practice Test
224(12)
Appendix C Answers to Practice Test
236(11)
Appendix D Statistical Formulas
247(2)
Appendix E t-Table
249(2)
Index 251
At the beginning of his academic career, Prof. Tom J. 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 joinedthe Walker School at Webster University in 2013 as an associate professor of management, teaching finance and statistics courses in the Master of Health Administration program. Prior to joining the Walker faculty, she worked for a number of hospitals, including Barnes-Jewish Hospital, St. Louis Regional Hospital and Columbia Hospital for Women in Washington, D.C. She has also held faculty positions at Simmons College in Boston and Washington University in St. Louis. Cummings received an undergraduate degree in Business Administration from Washington University, a masters degree in Health Administration from the Health Administration Program of the Washington University School of Medicine, and a doctorate in Health Policy and Administration from the University of North Carolina at Chapel Hill. She currently serves on the Missouri Baptist Institutional Review Board and is active in a variety of local civic organizations.