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8-2.1 Development of the Con dence Interval and Its Basic Properties 249 8-2.2 Choice of Sample Size 252 8-2.3 One-sided Con dence Bounds 253 8-2.4 General method to Derive a Con dence Interval 253 8-2.5 A Large-Sample Con dence Interval for 254 8-2.6 Bootstrap Con dence Intervals (CD Only) 256

This chapter starts by comparing connected and disconnected data and then covers the primary ADO.NET objects, looking at details and examples. After covering the objects, this chapter covers different methods of performing data manipulation, sorting, and filtering using the DataGrid control.

6-1 6-2 6-3 6-4

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Data Summary and Display 190 Random Sampling 195 Stem-and-Leaf Diagrams 197 Frequency Distributions and Histograms 203 6-5 Box Plots 207 6-6 Time Sequence Plots 209 6-7 Probability Plots 212 6-8 More About Probability Plotting (CD Only) 216

26 28 30 32 34 Insert a Picture or Clip Art Resize and Move Objects Rotate and Flip Objects Crop a Picture Change a Picture

This chapter looks at Microsoft s approach to XML in the .NET Framework. The chapter examines the XML classes and then presents various ways of implementing these classes.

8-3.1 The t Distribution 258 8-3.2 Development of the t Distribution (CD Only) 259 8-3.3 The t Con dence Interval on 259

8-5 8-6 8-7

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Con dence Interval on the Variance and Standard Deviation of a Normal Distribution 261 A Large-Sample Con dence Interval for a Population Proportion 265 A Prediction Interval for a Future Observation 268 Tolerance Intervals for a Normal Distribution 270

This chapter explores streams in detail. After that, it covers file and folder classes. Finally, this chapter covers serialization.

9-5.1 Large-Sample Tests on a Proportion 310 9-5.2 Small-Sample Tests on a Proportion (CD Only) 312 9-5.3 Type II Error and Choice of Sample Size 312

9-6 9-7 9-8

This chapter starts by looking at the image and bitmap classes. These classes can be used to work with images by using most of the techniques that have been defined in previous chapters. The latter part of the chapter looks closely at GDI+ and the ability to create images on the fly.

9-1.1 Statistical Hypotheses 278 9-1.2 Tests of Statistical Hypotheses 280 9-1.3 One-Sided and Two-Sided Hypotheses 286 9-1.4 General Procedure for Hypothesis Testing 287

Summary of Inference Procedures for a Single Sample 315 Testing for Goodness of Fit 315 Contingency Table Tests 320

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10-1 Introduction 328 10-2 Inference For a Difference in Means of Two Normal Distributions, Variances Known 328

10-2.1 Hypothesis Tests for a Difference in Means, Variances Known 329 10-2.2 Choice of Sample Size 331 10-2.3 Identifying Cause and Effect 333 10-2.4 Con dence Interval on a Difference in Means, Variances Known 334

the chapter explores HTTP handlers and modules. After that, state management in an ASP.NET application is explored in detail. This chapter also covers several other items that come in handy when connecting pages together.

9-2.1 Hypothesis Tests on the Mean 289 9-2.2 P-Values in Hypothesis Tests 292 9-2.3 Connection Between Hypothesis Tests and Con dence Intervals 293 9-2.4 Type II Error and Choice of Sample Size 293 9-2.5 Large Sample Test 297 9-2.6 Some Practical Comments on Hypothesis Tests 298

44 46 47 48 50 52 54 55 56 58 Change the Font, Size and Colour Align Text Set Line Spacing Indent Text Set Tabs Set Margins Copy Formatting Clear Formatting Format with Styles Apply a Template

Throughout s 6 through 15, decisions are based statistical inference from sample data. Continuous probability models, speci cally the normal distribution, are used extensively to quantify the risks in these decisions and to evaluate ways to collect the data and how large a sample should be selected. IMPORTANT TERMS AND CONCEPTS In the E-book, click on any term or concept below to go to that subject. Analytic study Designed experiment Empirical model Engineering method Enumerative study Mechanistic model Observational study Overcontrol Population Probability model Problem-solving method Retrospective study Sample Statistical inference Statistical Process Control Statistical thinking Tampering Variability CD MATERIAL Factorial Experiment Fractional factorial experiment Interaction

1-2.5 A Factorial Experiment for the Connector Pull-off Force Problem (CD only)

This chapter covers many of the aspects that ensure that only authorized people have access to private data.

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