发帖
雷达卡
CONTENTS
CHAPTER 1 WRITING FORMULAS 25
1.1 The Basics Of Writing Formulae 26
1.2 Tool for using this chapter effectively: Viewing the formula instead of the end
result 26
1.2.a The “A1” vs. the “R1C1“ style of cell references 28
1.2.b Writing a simple formula that references cells 29
1.3 Types Of References Allowed In A Formula 30
1.3.a Referencing cells from another worksheet 30
1.3.b Referencing a block of cells 30
1.3.c Referencing non–adjacent cells 31
1.3.d Referencing entire rows 32
1.3.e Referencing entire columns 32
1.3.f Referencing corresponding blocks of cells/rows/columns from a set of
worksheets 33
CHAPTER 2 COPYING/CUTTING AND PASTING FORMULAE 35
2.1 Copying And Pasting A Formula To Other Cells In The Same Column 36
2.2 Copying And Pasting A Formula To Other Cells In The Same Row 37
2.3 Copying And Pasting A Formula To Other Cells In A Different Row And Column
38
2.4 Controlling Cell Reference Behavior When Copying And Pasting Formulae (Use
Of The “$” Key) 39
2.4.a Using the “$” sign in different permutations and computations in a
formula 41
2.5 Copying And Pasting Formulas From One Worksheet To Another 42
2.6 Pasting One Formula To Many Cells, Columns, Rows 43
2.7 Pasting Several Formulas To A Symmetric But Larger Range 43
2.8 Defining And Referencing A “Named Range” 43
Adding several named ranges in one step 46
Using a named range 47
2.9 Selecting All Cells With Formulas That Evaluate To A Similar Number Type 48
2.10 Special Paste Options 48
2.10.a Pasting only the formula (but not the formatting and comments) 48
2.10.b Pasting the result of a formula, but not the formula itself 48
2.11 Cutting And Pasting Formulae 49
Intoduction & Contents
7
2.11.a The difference between “copying and pasting” formulas and “cutting and
pasting” formulas 49
2.12 Creating A Table Of Formulas Using Data/Table 50
2.13 Saving Time By Writing, Copying And Pasting Formulas On Several Worksheets
Simultaneously 50
CHAPTER 3 PASTE SPECIAL 52
3.1 Pasting The Result Of A Formula, But Not The Formula 53
3.2 Other Selective Pasting Options 56
3.2.a Pasting only the formula (but not the formatting and comments) 56
3.2.b Pasting only formats 56
3.2.c Pasting data validation schemes 57
3.2.d Pasting all but the borders 57
3.2.e Pasting comments only 57
3.3 Performing An Algebraic “Operation” When Pasting One Column/Row/Range On
To Another 58
3.3.a Multiplying/dividing/subtracting/adding all cells in a range by a number
58
3.3.b Multiplying/dividing the cell values in cells in several “pasted on”
columns with the values of the copied range 59
3.4 Switching Rows To Columns 59
CHAPTER 4 INSERTING FUNCTIONS 61
4.1 Basics 61
4.2 A Simple Function 64
4.3 Functions That Need Multiple Range References 67
4.4 Writing A “Function Within A Function” 69
4.5 New Function-Related Features In The XP Version Of Excel 73
Searching for a function 73
4.5.a Enhanced Formula Bar 73
4.5.b Error Checking and Debugging 74
CHAPTER 5 TRACING CELL REFERENCES & DEBUGGING FORMULA
ERRORS 76
5.1 Tracing the cell references used in a formula 76
5.2 Tracing the formulas in which a particular cell is referenced 78
5.3 The Auditing Toolbar 79
5.4 Watch window (only available in the XP version of Excel) 80
Statistical Analysis with Excel
8
5.5 Error checking and Formula Evaluator (only available in the XP version of Excel)
81
5.6 Formula Auditing Mode (only available in the XP version of Excel) 84
5.7 Cell-specific Error Checking and Debugging 85
5.8 Error Checking Options 86
CHAPTER 6 FUNCTIONS FOR BASIC STATISTICS 89
6.1 “Averaged” Measures Of Central Tendency 90
6.1.a AVERAGE 90
6.1.b TRIMMEAN (“Trimmed mean”) 91
6.1.c HARMEAN (“Harmonic mean”) 92
6.1.d GEOMEAN (“Geometric mean”) 93
6.2 Location Measures Of Central Tendency (Mode, Median) 94
6.2.a MEDIAN 95
6.2.b MODE 95
6.3 Other Location Parameters (Maximum, Percentiles, Quartiles, Other) 95
6.3.a QUARTILE 96
6.3.b PERCENTILE 96
6.3.c Maximum, Minimum and “Kth Largest” 97
MAX (“Maximum value”) 97
MIN (“Minimum value”) 98
LARGE 98
SMALL 99
6.3.d Rank or relative standing of each cell within the range of a series 99
PERCENTRANK 99
RANK 100
6.4 Measures Of Dispersion (Standard Deviation & Variance) 100
Sample dispersion: STDEV, VAR 100
Population dispersion: STDEVP, VARP 101
6.5 Shape Attributes Of The Density Function (Skewness, Kurtosis) 102
6.5.a Skewness 102
6.5.b Kurtosis 104
6.6 Functions Ending With An “A” Suffix 105
CHAPTER 7 PROBABILITY DENSITY FUNCTIONS AND CONFIDENCE
INTERVALS 109
7.1 Probability Density Functions (PDF), Cumulative Density Functions (CDF), and
Inverse functions 110
7.1.a Probability Density Function (PDF) 110
7.1.b Cumulative Density Function (CDF) 111
The CDF and Confidence Intervals 112
7.1.c Inverse mapping functions 114
Intoduction & Contents
9
7.2 Normal Density Function 115
Symmetry 116
Convenience of using the Normal Density Function 117
Are all large-sample series Normally Distributed? 117
Statistics & Econometrics: Dependence of Methodologies on the assumption
of Normality 118
The Standard Normal and its power 119
7.2.a The Probability Density Function (PDF) and Cumulative Density Function
(CDF) 119
7.2.b Inverse function 121
7.2.c Confidence Intervals 121
95% Confidence Interval 121
90% Confidence Interval 122
7.3 Standard Normal or Z–Density Function 123
Inverse function 124
Confidence Intervals 124
7.4 T–Density Function 125
Inverse function 126
Confidence Intervals 126
7.4.a One–tailed Confidence Intervals 127
95% Confidence Interval 127
90% Confidence Interval 127
7.5 F–Density Function 129
Inverse function 129
One–tailed Confidence Intervals 130
7.6 Chi-Square Density Function 130
Inverse function 131
One–tailed Confidence Intervals 131
7.7 Other Continuous Density Functions: Beta, Gamma, Exponential, Poisson,
Weibull & Fisher 132
7.7.a Beta Density Function 132
Inverse Function 133
Confidence Intervals 134
7.7.b Gamma Density Function 134
Inverse Function 135
Confidence Intervals 136
7.7.c Exponential Density Function 136
7.7.d Fisher Density Function 138
7.7.e Poisson Density Function 138
7.7.f Weibull Density Function 138
7.7.g Discrete probabilities— Binomial, Hypergeometric & Negative Binomial
139
Binomial Density Function 139
Hypergeometric Density Function 139
Negative Binomial 139
7.8 List of Density Function 140
7.9 Some Inverse Function 141
Statistical Analysis with Excel
10
CHAPTER 8 OTHER MATHEMATICS & STATISTICS FUNCTIONS 144
8.1 Counting and summing 145
COUNT function 145
COUNTA function also counts cells with logical or text values 147
COUNTBLANK function counts the number of empty cells in the range
reference 148
SUM function 148
PRODUCT function 149
SUMPRODUCT function 149
8.2 The “If” counting and summing functions: Statistical functions with logical
conditions 150
SUMIF function 150
COUNTIF function 151
8.3 Transformations (log, exponential, absolute, sum, etc) 153
Standardizing a series that follows a Normal Density Function 155
8.4 Deviations from the Mean 156
DEVSQ 156
AVEDEV 156
8.5 Cross series relations 157
8.5.a Covariance and correlation functions 157
8.5.b Sum of Squares 157
SUMXMY2 function 158
SUMX2MY2 function 158
CHAPTER 9 ADD-INS: ENHANCING EXCEL 161
9.1 Add-Ins: Introduction 161
9.1.a What can an Add-In do? 162
9.1.b Why use an Add-In? 162
9.2 Add–ins installed with Excel 162
9.3 Other Add-Ins 163
9.4 The Statistics Add-In 163
9.4.a Choosing the Add-Ins 163
CHAPTER 10 STATISTICS TOOLS 169
10.1 Descriptive statistics 170
10.2 Rank and Percentile 175
Interpreting the output: 177
10.3 Bivariate relations— correlation, covariance 178
Correlation analysis 178
Interpreting the output 179
10.3.a Covariance tool and formula 180
Intoduction & Contents
11
CHAPTER 11 HYPOTHESIS TESTING 183
11.1 Z-testing for population means when population variances are known 184
Interpreting the output 189
11.2 T-testing means when the two samples are from distinct groups 189
11.2.a The pretest— F-testing for equality in variances 189
Interpreting the output 191
11.2.b T-test: Two–Sample Assuming Unequal Variances 193
Interpreting the output 196
11.2.c T-test: Two–Sample Assuming Equal Variances 199
11.3 Paired Sample T-tests 199
11.4 ANOVA 205
Interpreting the output 207
CHAPTER 12 REGRESSION 211
12.1 Assumptions Underlying Regression Models 211
12.1.a Assumption 1: The relationship between any one independent series and
the dependent series can be captured by a straight line in a 2–axis graph
213
12.1.b Assumption 2: The independent variables do not change if the sampling is
replicated 213
12.1.c Assumption 3: The sample size must be greater than the number of
independent variables (N should be greater than K–1) 214
12.1.d Assumption 4: Not all the values of any one independent series can be the
same 215
12.1.e Assumption 5: The residual or disturbance error terms follow several rules
216
Assumption 5a: The mean/average or expected value of the disturbance
equals zero 216
Assumption 5b: The disturbance terms all have the same variance 216
Assumption 5c: A disturbance term for one observation should have no
relation with the disturbance terms for other observations or with any
of the independent variables 217
Assumption 5d: There is no specification bias 217
Assumption 5e: The disturbance terms have a Normal Density Function 218
12.1.f Assumption 6: There are no strong linear relationships among the
independent variables 218
12.2 Conducting the Regression 219
12.3 Brief guideline for interpreting regression output 222
12.4 Breakdown of classical assumptions: validation and correction 226
CHAPTER 13 OTHER TOOLS FOR STATISTICS 229
13.1 Sampling analysis 229
13.2 Random Number Generation 231
Statistical Analysis with Excel
12
13.3 Time series 234
Exponential Smoothing 234
Moving Average analysis 235
CHAPTER 14 THE SOLVER TOOL FOR CONSTRAINED LINEAR OPTIMIZATION
239
14.1 Defining the objective function (Choosing the optimization criterion) 239
14.2 Adding constraints 243
14.3 Choosing Algorithm Options 244
Running the Solver 245
INDEX 245
69107.rar
(1.19 MB, 需要: 40 个论坛币)
本附件包括：
[此贴子已经被作者于2006-10-27 16:17:09编辑过]
提升卡
置顶卡
沉默卡
变色卡
抢沙发
千斤顶
显身卡
[em03][em03][em03][em03]
京公网安备 11010802022788号
