Applied statistics for business and economics:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2010
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIX, 476 S. graph. Darst. |
ISBN: | 9781439805688 |
Internformat
MARC
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035 | |a (OCoLC)456840073 | ||
035 | |a (DE-599)BVBBV035893409 | ||
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100 | 1 | |a Leekley, Robert M. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Applied statistics for business and economics |c Robert M. Leekley |
264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2010 | |
300 | |a XIX, 476 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 4 | |a Commercial statistics | |
650 | 4 | |a Economics / Statistical methods | |
650 | 4 | |a Wirtschaft | |
650 | 4 | |a Commercial statistics | |
650 | 4 | |a Economics |x Statistical methods | |
650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Wirtschaftswissenschaften |0 (DE-588)4066528-8 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
_version_ | 1804140869457018880 |
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adam_text | Contents
Preface
..............................................xiii
Acknowledgments
....................................... xvii
Author
...............................................xix
1
Introduction to Statistics
...............................1
1.1
What Is Statistics Good For?
1
1.2
Some Further Applications of Statistics
3
1.2.1
Statistics in the Real World
4
1.2.1.1
Quality Assurance
4
1.2.1.2
Auditing
4
1.2.1.3
Market Research
5
1.2.1.4
Political Polling
5
1.2.1.5
Social Science Research
6
1.2.2
Statistics in the Classroom
6
1.2.2.1
Party Control and the Taxation of the Rich
6
1.2.2.2
Racial Discrimination in Major
League Baseball: Can It Exist When
Productivity Is Crystal Clear?
7
1.2.2.3
The Campus Bookstore:
Perceptions and Solutions
8
1.3
Some Basic Statistical Ideas
9
1.3.1
Description and Inference
9
1.3.2
Explanation and Causation
10
1.3.3
The Population and the Sample
11
1.3.4
Variables and Cases
11
1.3.5
Types of Variables
11
1.3.5.1
Numerical and Categorical Variables
11
1.3.5.2
Discrete and Continuous Numerical Variables
12
1.3.6
Sampling Error and Bias
12
1.4
On Studying Statistics
13
2
Describing Data: Tables and Graphs
......................15
2.1
Looking at a Single Variable
15
2.1.1
Frequency Distributions
15
2.1.1.1
Ordinary Frequency Distributions
15
2.1.1.2
Relative Frequency Distributions
18
2.1.1.3
Cumulative Frequency Distributions
19
2.1.2
Graphs
21
2.1.2.1
Bar Charts and Pie Charts
21
2.1.2.2
Histograms
22
vi
Contents
2.2
Looking for Relationships
23
2.2.1
Categorical Explanatory Variables
23
2.2.1.1
Frequency Distributions
23
2.2.1.2
Graphs
25
2.2.1.3
A More Interesting Example
27
2.2.1.4
Frequency Polygons
31
2.2.1.5
Scattergrams
33
2.2.2
Continuous Explanatory Variables
35
2.2.2.1
Frequency Distributions
35
2.2.2.2
Scattergrams
36
2.3
Looking at Variables over Time
37
2.4
Exercises
39
Describing Data: Summary Statistics
......................43
3.1
When Pictures Will Not Do
43
3.2
Measures of a Single Numeric Variable
43
3.2.1
Measures of Central Tendency
43
3.2.1.1
The Arithmetic Mean
44
3.2.1.2
The Median
46
3.2.1.3
The Mode
47
3.2.1.4
A More Interesting Example
47
3.2.1.5
From a Frequency Distribution
47
3.2.1.6
Working from Grouped Data
49
3.2.2
Measures of Variation
51
3.2.2.1
The Range
51
3.2.2.2
The Variance
52
3.2.2.3
The Standard Deviation
54
3.2.2.4
The Coefficient of Variation
54
3.2.2.5
A More Interesting Example
55
3.2.2.6
Making Sense of the Standard Deviation:
The Empirical Rule
55
3.2.2.7
From a Frequency Distribution
57
3.2.2.8
Working from Grouped Data
58
3.2.3
Spreadsheet Statistical Functions
59
3.2.4
Summing Up
60
3.3
Measures of a Single Categorical Variable
61
3.4
Measures of a Relationship
62
3.4.1
Categorical Explanatory Variables
62
3.4.1.1
Comparing Proportions
62
3.4.1.2
Comparing Means
64
3.4.2
Continuous Explanatory Variables*
65
3.5
Exercises
68
Basic Probability
................................____71
4.1
Why Probability?
71
4.2
The Basics
71
4.2.1
Experiments and Events
71
4.2.2
Discrete versus Continuous Probabilities
72
Contents
vii
4.2.3
The Probability of an Event
72
4.2.4
Complementary Events
74
4.2.5
Conditional Probabilities
74
4.2.6
Independent Events
75
4.2.7
Mutually Exclusive Events
76
4.3
Computing Probabilities
77
4.3.1
The Probability of an Intersection
77
4.3.1.1
The General Case
77
4.3.1.2
A Special Case: Independent Events
79
4.3.2
The Probability of a Union
80
4.3.2.1
The General Case
80
4.3.2.2
A Special Case: Mutually Exclusive Events
80
4.4
Some Tools That May Help
81
4.4.1
Two-Way Tables
81
4.4.2
Tree Diagrams
83
4.5
Revising Probabilities with
Bayes
Theorem
88
4.6
Exercises
91
Probability Distributions
...............................95
5.1
Discrete Random Variables
95
5.1.1
Discrete Random Variables and Probability Distributions
95
5.1.2
The Mean and Standard Deviation
of a Probability Distribution
96
5.1.3
Special Cases
97
5.2
The Binomial Probability Distribution
98
5.2.1
The Binomial Formula
98
5.2.1.1
The Probability of a Single Branch of a Tree
98
5.2.1.2
The Number of Branches: Combinations
99
5.2.1.3
Putting It All Together
100
5.2.2
Aids in Finding Binomial Probabilities
102
5.2.2.1
The Binomial Table
103
5.2.2.2
The Binomial Spreadsheet Functions
103
5.2.3
The Mean and Standard Deviation of
the Binomial Distribution
104
5.3
Continuous Random Variables
105
5.4
The Normal Distribution: The Bell-Shaped Curve
106
5.4.1
The Standard Normal Distribution
107
5.4.1.1
The Standard Normal Table
107
5.4.1.2
The Standard Normal Spreadsheet Functions
110
5.4.1.3
Two Final Points
110
5.4.2
Standardizing a Normal Distribution
110
5.5
The Normal Approximation to the Binomial
114
5.6
Exercises
118
Sampling and Sampling Distributions
.................... 121
6.1
Sampling*
121
6.1.1
Random and Judgment Samples
121
viii Contents
6.1.2
Techniques
for Random Sampling
122
6.1.2.1
Random Number Tables
122
6.1.2.2
Random Number Generators
123
6.1.2.3
Systematic Random Sampling
123
6.1.3
More Advanced Techniques
124
6.1.3.1
Stratified Sampling
124
6.1.3.2
Cluster Sampling
125
6.2
What Are Sampling Distributions and Why Are They Interesting?
125
6.3
The Sampling Distribution of a Proportion
126
6.3.1
Three Complications
131
6.4
The Sampling Distribution of a Mean:
σχ
Known
133
6.4.1
Two Complications
139
6.5
The Sampling Distribution of a Mean: ax Unknown
140
6.5.1
The
ŕ
Table
141
6.5.2
The
ŕ
Spreadsheet Functions
142
6.6
Other Sampling Distributions
147
6.7
Exercises
147
7
Estimation and Confidence Intervals
.....................151
7.1
Point and Interval Estimators of Unknown Population Parameters
151
7.1.1
Qualities of a Good Point Estimator
151
7.1.1.1
Unbiasedness
152
7.1.1.2
Efficiency
152
7.1.2
Point versus Interval Estimators
152
7.2
Estimates of the Population Proportion
154
7.3
Estimates of the Population Mean
157
7.4
A Final Word on Confidence Intervals
161
7.5
Exercises
162
8
Tests of Hypotheses: One-Sample Tests
...................167
8.1
Testing a Claim: Type I and Type II Errors
167
8.2
A Two-Tailed Test for the Population Proportion
168
8.2.1
The Null and Alternative Hypotheses
168
8.2.2
The Decision Criterion: Setting the
Probability of a Type I Error
168
8.2.3
The Calculations
170
8.2.4
The Conclusion
170
8.2.5
The P-Value of the Test
172
8.2.6
The Probability of a Type It Error*
173
8.3
A One-Tailed Alternative for the Population Proportion
179
8.3.1
The Null and Alternative Hypotheses
180
8.3.2
The Decision Criterion
181
8.3.3
The Probability of a Type II Error*
184
8.3.4
When a One-Tailed Test is Legitimate
185
8.4
Tests for the Population Mean
186
8.5
A Two-Tailed Test for the Population Mean
187
8.5.1
The Null and Alternative Hypotheses
187
8.5.2
The Decision Criterion
187
Contents ix
8.5.3
The Calculations
189
8.5.4
The Conclusion
190
8.5.5
The P-Value of the Test
190
8.5.6
The Probability of a Type II Error*
192
8.6
A One-Tailed Alternative for the Population Mean
195
8.6.1
The Null and Alternative Hypotheses
195
8.6.2
The Decision Criterion
195
8.6.3
The Probability of a Type II Error*
197
8.7
A Final Word on One-Sample Tests
198
8.8
Exercises
198
9
Tests of Hypotheses: Two-Sample Tests
...................203
9.1
Looking for Relationships Again
203
9.2
A Difference in Population Proportions
205
9.2.1
The Null and Alternative Hypotheses
205
9.2.2
The Decision Criterion
207
9.2.3
The Calculations
208
9.2.4
The Conclusion
209
9.3
A Difference in Population Means
212
9.4
A Difference in Means.- oxs Known
212
9.4.1
The Null and Alternative Hypotheses
212
9.4.2
The Decision Criterion
212
9.4.3
The Formulas
213
9.5
A Difference in Means: oxs Unknown but Equal
213
9.5.1
The Null and Alternative Hypotheses
213
9.5.2
The Decision Criterion
214
9.5.3
The Calculations
214
9.5.4
The Conclusion
215
9.6
A Difference in Means: oxs Unknown and Unequal*
217
9.7
A Difference in Means: Using Paired Data*
221
9.8
A Final Word on Two-Sample Tests
223
9.9
Exercises
224
10
Tests of Hypotheses: Contingency and Goodness-of-Fit
........229
10.1
A Difference in Proportions: An Alternate Approach
230
10.1.1
The Null and Alternative Hypotheses
230
10.1.2
The Decision Criterion
230
10.1.3
The Calculations
231
10.1.4
The Conclusion
233
10.2
Contingency Tables with Several Rows and/or Columns
233
10.3
A Final Word on Contingency Tables
237
10.4
Testing for Goodness-of-Fit
238
10.4.1
The Null and Alternative Hypotheses
238
10.4.2
The Decision Criterion
239
10.4.3
The Calculations
239
10.4.4
The Conclusion
239
10.5
A Final Example on Testing for Goodness-of-Fit
242
10.6
Exercises
245
Contents
11 Tests
of Hypotheses:
ANOVA and Tests
of Variances
..........249
11.1
A Difference in Means: An Alternate Approach
250
11.1.1
The Null and Alternative Hypotheses
250
11.1.2
The Decision Criterion
250
11.1.3
The Calculations
251
11.1.4
The Conclusion
253
11.2
ANOVA with Several Categories
254
11.3
A Final Word on ANOVA
258
11.4
A Difference in Population Variances
259
11.4.1
The Null and Alternative Hypotheses
260
11.4.2
The Decision Criterion
260
11.4.3
The Calculations
261
11.4.4
The Conclusion
261
11.5
Exercises
263
12
Simple Regression and Correlation
......................267
12.1
The Population Regression Line
268
12.2
The Sample Regression Line
269
12.2.1
The Best Sample Line: Ordinary Least Squares
269
12.2.2
Finding the Intercept and Slope
270
12.2.3
Interpreting the Intercept and Slope
272
12.3
Evaluating the Sample Regression Line
272
12.3.1
The Sum of Squared Errors
272
12.3.2
The Mean Square Error and Standard Error of the Estimate
273
12.3.3
R2: The Coefficient of Determination
274
12.3.4
Testing the Sample Regression Line
275
12.4
Evaluating the Sample Regression Slope
276
12.5
The Relationship of
Fand
ŕ:
Неге
and Beyond
278
12.6
Predictions Using the Regression Line
278
12.6.1
Using the Regression Line to Predict
У
Given X
278
12.6.2
Confidence Intervals for /Given X
279
12.7
Regression and Correlation
281
12.7.1
Finding a Sample Correlation
281
12.7.2
Interpreting a Sample Correlation
282
12.7.3
Testing a Sample Correlation
282
12.7.4
The Relationship of Regression and Correlation
283
12.8
Another Example
283
12.9
Dummy Explanatory Variables
287
12.10
The Need for Multiple Regression
291
12.11
Exercises
292
13
Multiple Regression
.................................297
13.1
Extensions of Regression Analysis
297
13.1.1
When There Is More Than One Cause
297
13.1.2
When the Line Is Not Straight
297
13.2
The Population Regression Line
298
Contents xi
13.3 The Sample Regression Line 299
13.3.1 The Best Sample Line:
Ordinary Least
Squares 299
13.3.2
Finding the Intercept and Slopes.-
A Job for the Computer
300
13.3.3
Interpreting the Intercept and Slopes
300
13.4
Evaluating the Sample Regression Line
301
13.4.1
The Sum of Squared Errors
301
13.4.2
The Mean Square Error and Standard Error of the Estimate
301
13.4.3
R2 and
Ř2·.
The Coefficients of Determination
301
13.4.4
Testing the Sample Regression Line
302
13.5
Evaluating the Sample Regression Slopes
303
13.6
Predictions Using the Regression Line
304
13.6.1
Using the Regression Line to Predict /Given the
X¡
304
13.6.2
Confidence Intervals for /Given the X,
304
13.7
Categorical Variables
306
13.8
Estimating Curved Lines
309
13.8.1
The Quadratic Function
309
13.8.2
The Cobb-Douglas (Log-Log) Function
313
13.9
Additional Examples
316
13.10
Exercises
326
14
Time-Series Analysis
................................329
14.1
Exploiting Patterns over Time
329
14.2
The Basic Components of a Time Series
330
14.3
Moving Averages
332
14.4
Seasonal Variation
333
14.4.1
Using a Moving Average to Create a Seasonal Index
334
14.4.1.1
Finding a Centered, Seasonally
Balanced Moving Average
334
14.4.1.2
Finding Specific Seasonal Indexes
335
14.4.1.3
Finding an Overall Seasonal Index
335
14.4.2
Using a Seasonal Index
336
14.5
The Long-Term Trend
338
14.5.1
A Linear Trend
338
14.5.2
An Exponential (Semilog) Trend
340
14.5.3
The Limitations of Curve-Fitting
344
14.6
The Business Cycle
345
14.7
Putting It All Together: Forecasting
345
14.7.1
Recapping Our Decomposition
345
14.7.1.1
Seasonal Variation
346
14.7.1.2
Long-Term Trend
346
14.7.1.3
Cyclical and Random Variation
346
14.7.2
Projecting the Trend
346
14.7.3
Projecting the Business Cycle
346
14.7.4
Projecting Seasonal Variation
348
14.8
Another Example
349
14.9
Exercises
355
xii Contents
Appendix
A...............................................
359
Examples, Exercises, and Data Files
359
Appendix B: Answers to Odd-Numbered Exercises
...................365
Chapter
1:
Introduction to Statistics
365
Chapter
2:
Describing Data: Tables and Graphs
365
Chapter
3:
Describing Data: Summary Statistics
379
Chapter
4:
Basic Probability
383
Chapter
5:
Probability Distributions
385
Chapter
6:
Sampling and Sampling Distributions
387
Chapter
7:
Estimation and Confidence Intervals
392
Chapter
8:
Tests of Hypotheses: One-Sample Tests
396
Chapter
9:
Tests of Hypotheses: Two-Sample Tests
400
Chapter
10:
Tests of Hypotheses: Contingency and Goodness-of-Fit
413
Chapter
11:
Tests of Hypotheses: ANOVA and Tests of Variances
421
Chapter
12:
Simple Regression and Correlation
427
Chapter
13:
Multiple Regression
435
Chapter
14:
Time-Series Analysis
444
Appendix
С
...............................................449
Index
....................................................467
|
any_adam_object | 1 |
author | Leekley, Robert M. |
author_facet | Leekley, Robert M. |
author_role | aut |
author_sort | Leekley, Robert M. |
author_variant | r m l rm rml |
building | Verbundindex |
bvnumber | BV035893409 |
callnumber-first | H - Social Science |
callnumber-label | HF1017 |
callnumber-raw | HF1017 |
callnumber-search | HF1017 |
callnumber-sort | HF 41017 |
callnumber-subject | HF - Commerce |
classification_rvk | QH 231 SK 850 |
classification_tum | MAT 620f WIR 522f |
ctrlnum | (OCoLC)456840073 (DE-599)BVBBV035893409 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
format | Book |
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genre | (DE-588)4123623-3 Lehrbuch gnd-content |
genre_facet | Lehrbuch |
id | DE-604.BV035893409 |
illustrated | Illustrated |
indexdate | 2024-07-09T22:06:50Z |
institution | BVB |
isbn | 9781439805688 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018750872 |
oclc_num | 456840073 |
open_access_boolean | |
owner | DE-703 DE-355 DE-BY-UBR DE-945 DE-91G DE-BY-TUM DE-521 DE-634 |
owner_facet | DE-703 DE-355 DE-BY-UBR DE-945 DE-91G DE-BY-TUM DE-521 DE-634 |
physical | XIX, 476 S. graph. Darst. |
publishDate | 2010 |
publishDateSearch | 2010 |
publishDateSort | 2010 |
publisher | CRC Press |
record_format | marc |
spelling | Leekley, Robert M. Verfasser aut Applied statistics for business and economics Robert M. Leekley Boca Raton, Fla. [u.a.] CRC Press 2010 XIX, 476 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Commercial statistics Economics / Statistical methods Wirtschaft Economics Statistical methods Statistik (DE-588)4056995-0 gnd rswk-swf Wirtschaftswissenschaften (DE-588)4066528-8 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Wirtschaftswissenschaften (DE-588)4066528-8 s Statistik (DE-588)4056995-0 s b DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018750872&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Leekley, Robert M. Applied statistics for business and economics Commercial statistics Economics / Statistical methods Wirtschaft Economics Statistical methods Statistik (DE-588)4056995-0 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4066528-8 (DE-588)4123623-3 |
title | Applied statistics for business and economics |
title_auth | Applied statistics for business and economics |
title_exact_search | Applied statistics for business and economics |
title_full | Applied statistics for business and economics Robert M. Leekley |
title_fullStr | Applied statistics for business and economics Robert M. Leekley |
title_full_unstemmed | Applied statistics for business and economics Robert M. Leekley |
title_short | Applied statistics for business and economics |
title_sort | applied statistics for business and economics |
topic | Commercial statistics Economics / Statistical methods Wirtschaft Economics Statistical methods Statistik (DE-588)4056995-0 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd |
topic_facet | Commercial statistics Economics / Statistical methods Wirtschaft Economics Statistical methods Statistik Wirtschaftswissenschaften Lehrbuch |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018750872&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT leekleyrobertm appliedstatisticsforbusinessandeconomics |