3rd. ed. β SAS Institute Inc. β 2015. β 252 p. β ISBN: 1629597589 , 9781629597584<div class="bb-sep"></div>Using JMP Student Edition is the official user guide for JMP Student Edition, the streamlined edition of JMP for first year statistics students. Clearly written, with easy-to-follow, step-by-st
Using JMP Student Edition for Windows and Macintosh: the User's Guide to Statistics With JMP Student Edition
β Scribed by SAS Publishing
- Year
- 2009
- Tongue
- English
- Leaves
- 253
- Edition
- Student
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Using JMP Student Edition is the official user guide for JMP Student Edition, the streamlined edition of JMP for first year statistics students. Clearly written, with easytofollow, stepbystep instructions, this book provides engaging illustrations and concept overviews. Chapters cover not only such JMP basics as importing data, univariate and bivariate data analysis, but also more complex analyses including Multiple Regression, Time Series, Design of Experiments, and Quality Control. JMP Student Edition software is available from major textbook publishers when packaged with their textbooks for course use.
β¦ Table of Contents
Learning JMP Student Edition with its Documentation......Page 12
Starting JMP Student Edition......Page 13
Windows......Page 14
First Session......Page 16
Finding Means, Medians, and Standard Deviations......Page 17
Where to Go from Here......Page 20
About the Data......Page 22
Using Histograms......Page 23
Testing a Mean......Page 25
Normality......Page 26
Testing Probabilities......Page 27
Annotating Results......Page 29
The Modeling Type of Variables......Page 30
Histogram Options......Page 31
Outlier Box Plot......Page 32
Stem and Leaf Plots......Page 33
Fit Distribution......Page 34
Statistical Tests......Page 35
Testing a Standard Deviation......Page 36
Confidence Intervals......Page 37
Saving Information......Page 38
Whole-Platform Options......Page 39
Capability Analysis......Page 40
Launching the Platform......Page 46
Computing a t-test......Page 47
Pooled t test......Page 48
Selecting and Marking Points......Page 49
Comparison Circles......Page 51
Fitting Lines......Page 52
Residuals......Page 54
Two-Way Contingency Tables......Page 55
Logistic Regression......Page 56
The Formula Editor......Page 57
Scatterplots-The Continuous by Continuous Case......Page 59
The Summary of Fit Table......Page 60
Parameter Estimates Table......Page 61
One Way anova-The Continuous by Categorical Case......Page 62
Contingency Analysis-The Categorical by Categorical Case......Page 67
Logistic Regression-The Categorical by Continuous Case......Page 68
The Whole Model Test Table......Page 69
Platform Options......Page 70
Preparing the Data......Page 72
Launching the Platform......Page 73
The Matched Pairs Scatterplot......Page 74
Interpreting the Matched Pairs Plot......Page 76
Launching the Platform......Page 80
Setting Titles......Page 81
Examining Results......Page 82
Re-running an Analysis......Page 83
Linear Contrasts......Page 85
Roles......Page 86
Factorial to Degree......Page 87
Fitting Personalities......Page 88
Fit Model Report Items......Page 89
The Analysis of Variance Table......Page 90
The Lack of Fit Table......Page 91
Leverage Plots......Page 92
Expanded Estimates......Page 94
Custom Test......Page 95
Row Diagnostics......Page 96
Save Commands......Page 97
Introduction......Page 100
Stepwise Regression Control Panel......Page 103
Current Estimates Table......Page 104
Make Model......Page 105
All Possible Regressions......Page 106
Introduction......Page 108
The Control Chart Launch Dialog......Page 111
Sample Label......Page 112
Phase......Page 113
Chart Type Information......Page 114
Using Specified Statistics......Page 115
Display Options......Page 116
Show Points......Page 117
Tests......Page 118
Window Options......Page 119
Tests for Special Causes......Page 120
Western Electric Rules......Page 121
Westgard Rules......Page 123
Shewhart Control Charts......Page 125
Example. - and S-charts with varying subgroup sizes......Page 126
Run Charts......Page 127
Example. Individual Measurement and Moving Range Charts......Page 128
Shewhart Control Charts for Attributes......Page 130
Example. p-Charts......Page 131
u-Charts......Page 132
Example 10. c-Charts for Noncomformities per Unit......Page 133
Example......Page 134
Cumulative Sum (Cusum) Charts......Page 136
Specify Stats......Page 137
Connect Points......Page 138
Example 1. Two-Sided Cusum Chart with V-mask......Page 139
Example 2. One-Sided Cusum Chart with no V-mask......Page 141
Introduction......Page 144
The Time Series Graph......Page 148
Time Series Commands......Page 149
Partial Autocorrelation......Page 150
Modeling Reports......Page 151
Model Summary Table......Page 152
Parameter Estimates Table......Page 153
Iteration History......Page 154
ARIMA Model......Page 155
Smoothing Models......Page 156
Smoothing Model Dialog......Page 157
Double (Brown) Exponential Smoothing......Page 158
Seasonal Exponential Smoothing......Page 159
Winters Method (Additive)......Page 160
Introduction......Page 162
Inverse Correlations and Partial Correlations......Page 164
Scatterplot Matrix......Page 165
Covariance Matrix......Page 167
Simple Statistics......Page 168
Nonparametric Correlations......Page 169
Kendallβs tb Coefficients......Page 170
Inverse Correlation Matrix......Page 171
Using the Chart Platform......Page 172
Using the Overlay Plot Platform......Page 174
Windows......Page 176
Macintosh......Page 177
All Platforms......Page 178
Importing Microsoft Excel Files......Page 180
The Chart Platform......Page 181
Single-Chart Options......Page 183
Frame Options......Page 184
Platform Options......Page 185
Single-Plot Options......Page 186
Introduction......Page 190
Entering Responses and Factors......Page 196
Selecting Output Options......Page 197
Making the Table......Page 198
Introduction......Page 200
Creating a Screening Design......Page 202
Specifying Goal Types and Lower and Upper Limits......Page 203
Choosing a Design......Page 204
Two-Level Fractional Factorial......Page 205
Mixed-Level Designs......Page 206
Cotter Designs......Page 207
Aliasing of Effects......Page 208
Viewing the Confounding Pattern......Page 209
Changing the Coded Design......Page 210
Specifying Output Options......Page 211
Continuing the Analysis......Page 212
Viewing a Scaled Estimates Report......Page 213
Response Surface Designs......Page 216
Introduction......Page 217
Creating a Response Surface Design......Page 219
Box-Behnken Designs......Page 220
Specifying Axial Value (Central Composite Designs Only)......Page 221
Viewing the Design Table......Page 222
Continuing the Analysis, If Needed......Page 223
Prospective Power Analysis......Page 226
One-Sample and Two-Sample Means......Page 227
Single-Sample Mean......Page 229
Power and Sample Size Animation for a Single Sample......Page 230
Two-Sample Means......Page 231
k-Sample Means......Page 232
One-Sample Variance......Page 233
One-Sample and Two-Sample Proportions......Page 234
Counts per Unit......Page 236
Sigma Quality Level......Page 237
B......Page 240
C......Page 241
E......Page 242
I......Page 243
M......Page 244
O......Page 245
P......Page 246
S......Page 247
V......Page 249
W-Z......Page 250
Technology License Notices......Page 252
β¦ Subjects
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