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Frederick Mosteller - Beginning Statistics with Data Analysis

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Frederick Mosteller Beginning Statistics with Data Analysis

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This introduction to the world of statistics draws examples from a broad range of applications, including business, government, medicine, social sciences, biology, and everyday life. The first four chapters present a brief course in exploratory data analysis. The authors place special emphasis on methods for collecting data and offer an elementary treatment of multiple regression. A concluding chapter on the design of comparative experiments links the basic ideas of design to previously discussed methods of analysis. Each chapter and section concludes with review problems. Suitable for undergraduate students, the text requires only one year of high school algebra.
This authoritative treatment was co-written by Frederick Mosteller, one of the twentieth centurys preeminent statisticians and the founding chairman of Harvards Department of Statistics, and Stephen Fienberg, a leader of statistics departments at the University of Minnesota and Carnegie Mellon University and who is internationally known for innovative statistical research and its application to social science and public policy.

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ACKNOWLEDGMENTS

We are indebted to our colleagues and students over the years whose comments on early drafts are reflected in the final version of this book. Special thanks are due Kathy Campbell, Diane Griffin, and Gale Mosteller for working through problems and providing comments and corrections. The materials for the book have been carefully typed and retyped many times by Linda Anderson, Holly Grano, Margie Krest, Nina Leech, and Marjorie Olson. We particularly appreciate the work of Cleo Youtz, who spent many hours double-checking computations, preparing tables and graphs, and otherwise organizing the book. Without her help this work would never have been completed.

Our colleague Robert E. K. Rourke participated in the conception and design of the book and contributed enthusiastically to the writing until he suffered a series of severe illnesses. Thereafter, while working at a reduced rate, he encouraged us with cheerful criticism and continued to brighten our planning meetings with his unique humor until his death in July 1981.

Cambridge, Massachusetts
Pittsburgh, Pennsylvania
November 1982
F.M.
S.E.F.

Short Answers
to Selected
Odd-Numbered
Problems

CHAPTER 1

Section 1-1

. about 4800

. about 6950

. 7700 from midnight to 8 A.M., 6175 from 8 A.M. to 4 P.M., 11, 125 from 4 P.M. to midnight

. 40

. 80-84 years, 17.3%

. 96.26%

Section 1-2

. 1, 7, 14, 21, 28

. no

. 70-74 years, 13.51%

Section 1-3

. 90%, 10%

. a) M = 4.3, b) Q, = 3.75, Q3 = 4.75, IQR = 1.00

. partial solution:

larger Chapter 1 summary problems partial solution M - photo 1

.

larger Chapter 1 summary problems partial solution M 67 Q1 - photo 2

. larger

Chapter 1 summary problems

. partial solution:

M 67 Q1 55 Q3 82 IQR 27 yes CHAPTER 2 Section 2-1 a - photo 3

.M = 6.7, Q1 = 5.5, Q3 = 8.2, IQR = 2.7

. yes

CHAPTER 2

Section 2-1

. a) 24.5 megohms, b) 46.4, 47.9, 49.0, c) 46.0, d) isolated groups at both ends

. a) 21.4 megohms, b) 43.8, 44.5, 47.0, 50.0, c) 44.0, d) isolated groups at both ends

. 1 unit = $10

. 1 unit = $10

a 64 b 24 c 22 d one isolated measurement for Problem 9 data - photo 4

.

a 64 b 24 c 22 d one isolated measurement for Problem 9 data a - photo 5

. a) 64, b) 24, c) 22, d) one isolated measurement (for Problem 9 data)

. a) 33, b) 4, c) 6, d) no isolated measurements

Section 2-3

.Q1 = 59.5, M = 63.4, Q3 = 68.1, IQR = 8.6

. summer temperatures about 39 higher than winter temperatures; winter temperatures slightly more variable

. less variable

. 140, 11, 90, 77, 65, 96, 106; 83, 365, 163, 203, 106, 162, 144, 327, 310, 74, 99, 87, 276, 194, 75, 96, 70, 799, 279, 167, 108, 324

.M = 90

.Q1 = $840, M = $1120, Q3 = $1620, IQR = $780

.Q1 = $820, M = $1000, Q3 = $1060, IQR = $240

. yes, except possibly for very large observation in Northeast

Section 2-4

. 0.93, 1.93, 0.07

.

Chapter 2 summary problems highest and most variable in Fox Chapel lowest - photo 6

Chapter 2 summary problems

. highest and most variable in Fox Chapel; lowest and least variable in 19th Ward; 14th Ward and Wilkinsburg intermediate

. partial solution:

14th Ward Q1 478 M 489 Q3 504 IQR 026 19th Ward Q1 444 - photo 7

. 14th Ward: Q1 = 4.78, M = 4.89, Q3 = 5.04, IQR = 0.26; 19th Ward: Q1 = 4.44, M = 4.57, Q3 = 4.65, IQR = 0.21; Fox Chapel; Q1 = 5.30, M = 5.46, Q3 = 5.56, IQR = 0.26; Wilkinsburg: Q1 = 4.40, M = 4.62, Q3 = 4.79, IQR = 0.39

CHAPTER 3

Section 3-1

. X = Picture 8 y = 1 X + 0

.y = (3/4)x + 0

Section 3-2

. (b), (d), (g)

.X = x2, B = 1 X + 2

.y = log D, y = ( log 2)x + 11 log 2

.F = 3.14x2

.X = x3, y = 5X 10

.Y = log y, X = 10x, Y = X + log 5

Section 3-3

.T 11, T 55, T 1.1 R 22

.T 44, T = 42

Section 3-4

. partial solution: as age increases, variability in height increases

. large residuals at 1912, 1920, and 1948

Chapter 3 summary problems

.

0 070 118 148 178 208 238 268 286 316 346 376 400 - photo 9

. 0, 0.70, 1.18, 1.48, 1.78, 2.08, 2.38, 2.68, 2.86, 3.16, 3.46, 3.76, 4.00

.R 20t + 89

. yes

CHAPTER 4

Section 4-1

. 15, 79, 82.3

. a) 9.6, b) 44.8

. yes, 28.6

.

34 yes 20 55 45 N 21080 1240 S 10680 445 C 21680 985 - photo 10

. 34

. yes, 20

. 5.5, 4.5

. N: 21,080; 1240; S: 10,680; 445; C: 21,680; 985; W: 17,840; 714; grand mean = 810

. 780

. 240

. they are the same

Section 4-2

.

Average of column means a c2 b d22 a b c d4 - photo 11

. Average of column means = [(a + c)/2 + (b + d)/2]/2 = (a + b + c + d)/4

Average of row means = [(a + b)/2 + (c + d)/2]/2 = (a + b + c + d)/4

. 83.30, 81.80, 76.00, 64.43, 52.80, 45.87, 43.43

. Flagstaff 18.06, Phoenix 6.35, Yuma 11.71

. 65.24, 63.74, 57.94, 46.37, 34.74, 27.81, 25.37

. 95.01, 93.51, 87.71, 76.14, 64.51, 57.58, 55.14

Section 4-3

. yes, Beginning Statistics with Data Analysis - image 12

largest residuals at lowest scholastic aptitude quartile for grades 7 and 8

. extreme age groups and activity groups have effects of similar magnitudes

. yes, residuals are mostly positive in upper left and lower right, and they are mostly negative in lower left and upper right

Chapter 4 summary problems

.

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