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Excel 2013 for Social Sciences Statistics: A Guide to Solving Practical Problems 1st ed. 2015 [Pehme köide]

  • Formaat: Paperback / softback, 257 pages, kõrgus x laius: 235x155 mm, kaal: 4721 g, 167 Illustrations, color; XV, 257 p. 167 illus. in color., 1 Paperback / softback
  • Sari: Excel for Statistics
  • Ilmumisaeg: 24-Jul-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319191764
  • ISBN-13: 9783319191768
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Excel 2013 for Social Sciences Statistics: A Guide to Solving Practical Problems 1st ed. 2015Suurem pilt
  • Formaat: Paperback / softback, 257 pages, kõrgus x laius: 235x155 mm, kaal: 4721 g, 167 Illustrations, color; XV, 257 p. 167 illus. in color., 1 Paperback / softback
  • Sari: Excel for Statistics
  • Ilmumisaeg: 24-Jul-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319191764
  • ISBN-13: 9783319191768
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319191768.html
Märksõnad:
This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science 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 social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize 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 social 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 167 illustrations in color Suitable for upper undergraduates or graduate students

Arvustused

This book presents some important features of a powerful software known for its interesting features along with several statistical topics. The target audience is primarily students majoring in disciplines other than statistics. Each chapter is followed by a good number of exercises very helpful to the students. the book would be an excellent reference on the subject. (Morteza Marzjarani, Technometrics, Vol. 58 (2), 2016) 

1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean 1(22)
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(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
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
17(4)
References
21(2)
2 Random Number Generator 23(16)
2.1 Creating Frame Numbers for Generating Random Numbers
23(3)
2.2 Creating Random Numbers in an Excel Worksheet
26(2)
2.3 Sorting Frame Numbers into a Random Sequence
28(3)
2.4 Printing an Excel File So That All of the Information Fits onto One Page
31(4)
2.5 End-of-Chapter Practice Problems
35(2)
References
37(2)
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing 39(28)
3.1 Confidence Interval About the Mean
39(11)
3.1.1 How to Estimate the Population Mean
39(1)
3.1.2 Estimating the Lower Limit and the Upper Limit of the 95 % Confidence Interval About the Mean
40(1)
3.1.3 Estimating the Confidence Interval the Chevy Impala in Miles Per Gallon
41(1)
3.1.4 Where Did the Number "1.96" Come From'
42(1)
3.1.5 Finding the Value for tin the Confidence Interval Formula
43(1)
3.1.6 Using Excel's TINV Function to Find the Confidence Interval About the Mean
44(1)
3.1.7 Using Excel to Find the 95 % Confidence Interval for a Car's mpg Claim
44(6)
3.2 Hypothesis Testing
50(10)
3.2.1 Hypotheses Always Refer to the Population of People or Events That You Are Studying
50(1)
3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis
51(3)
3.2.3 The 7 Steps for Hypothesis-Testing Using the Confidence Interval About the Mean
54(6)
3.3 Alternative Ways to Summarize the Result of a Hypothesis Test
60(2)
3.3.1 Different Ways to Accept the Null Hypothesis
61(1)
3.3.2 Different Ways to Reject the Null Hypothesis
61(1)
3.4 End-of-Chapter Practice Problems
62(4)
References
66(1)
4 One-Group t-Test for the Mean 67(16)
4.1 The 7 STEPS for Hypothesis-Testing Using the One-Group t-Test
67(5)
4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis
68(1)
4.1.2 STEP 2: Select the Appropriate Statistical Test
68(1)
4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test
68(1)
4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test
69(1)
4.1.5 STEP 5: Find the Critical Value of tin the t-Table in Appendix E
70(1)
4.1.6 STEP 6: State the Result of Your Statistical Test
71(1)
4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English'
71(1)
4.2 One-Group t-Test for the Mean
72(5)
4.3 Can You Use Either the 95 % Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses?
77(1)
4.4 End-of-Chapter Practice Problems
77(4)
References
81(2)
5 Two-Group t-Test of the Difference of the Means for Independent Groups 83(32)
5.1 The 9 STEPS for Hypothesis-Testing Using the Two-Group t-Test
84(8)
5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2
84(1)
5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group
84(2)
5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test
86(1)
5.1.4 STEP 4: Select the Appropriate Statistical Test
86(1)
5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test
86(1)
5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test
86(1)
5.1.7 STEP 7: Find the Critical Value of tin the t-Table in Appendix E
87(1)
5.1.8 STEP 8: State the Result of Your Statistical Test
88(1)
5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English'
88(4)
5.2 Formula #1: Both Groups Have More than 30 People in Them
92(8)
5.2.1 An Example of Formula #1 for the Two-Group t-Test
93(7)
5.3 Formula #2: One or Both Groups Have Less than 30 People in Them
100(8)
5.4 End-of-Chapter Practice Problems
108(5)
References
113(2)
6 Correlation and Simple Linear Regression 115(44)
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(9)
6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points
128(8)
6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page
136(1)
6.5 Finding the Regression Equation
137(9)
6.5.1 Installing the Data Analysis ToolPak into Excel
138(3)
6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression
141(3)
6.5.3 Finding the Equation for the Regression Line
144(1)
6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value
145(1)
6.6 Adding the Regression Equation to the Chart
146(3)
6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table
149(1)
6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet
149(2)
6.8.1 Printing Only the Table and the Chart on a Separate Page
150(1)
6.8.2 Printing Only the Chart on a Separate Page
150(1)
6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page
151(1)
6.9 End-of-Chapter Practice Problems
151(5)
References
156(3)
7 Multiple Correlation and Multiple Regression 159(18)
7.1 Multiple Regression Equation
159(3)
7.2 Finding the Multiple Correlation and the Multiple Regression Equation
162(3)
7.3 Using the Regression Equation to Predict FROSH GPA
165(1)
7.4 Using Excel to Create a Correlation Matrix in Multiple Regression
166(3)
7.5 End-of-Chapter Practice Problems
169(6)
References
175(2)
8 One-Way Analysis of Variance (ANOVA) 177(20)
8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA)
179(3)
8.2 How to Interpret the ANOVA Table Correctly
182(1)
8.3 Using the Decision Rule for the ANOVA F-Test
182(1)
8.4 Testing the Difference Between Two Groups Using the ANOVA t-Test
183(5)
8.4.1 Comparing Republicans vs. Democrats in Their Attitude Toward U.S. Military Spending Using the ANOVA t-Test
184(4)
8.5 End-of-Chapter Practice Problems
188(8)
References
196(1)
Appendix A: Answers to End-of-Chapter Practice Problems 197(32)
Appendix B: Practice Test 229(13)
References
241(1)
Appendix C: Answers to Practice Test 242(10)
Appendix D: Statistical Formulas 252(2)
Appendix E: t-Table 254(1)
Index 255
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.