Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version
Home > Mathematics and Science Textbooks > Mathematics > Probability and statistics > Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version
Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version

Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version


     0     
5
4
3
2
1



Available


X
About the Book

DataDesk® is a highly graphical and interactive statistical software program for the Macintosh computer. Originally developed at Cornell University, it is now used by thousands of institutions and individuals around the world for teaching and research. Combining the concepts of Exploratory Data Analysis with a full range of traditional statistical techniques, DataDesk's dynamic displays, drag-and-drop interface, and linked plots give users exciting insights into the nature and uses of data. DataDesk 5.0 Student Version is an excellent software package for undergraduate statistics courses. It covers all statistical and graphical methods needed at this level of instruction. The accompanying book, Learning Data Analysis with DataDesk by Paul Velleman, contains numerous worked-out examples, and more than 200 exercises with the easy-to-learn and user friendly DataDesk Software.

Table of Contents:
1. Introduction. What Computing Background Do I Need? Data Analysis. Basic Desktop Operations. 2. Basic Concepts. The DataDesk Desktop. Menus and Submenus. Datafiles. Windows. Icons. Variables. Folders. Storage Folders and the File Cabinet. Relations. Selecting. Result Windows, Plots, and Hot Results. Defaults and Preferences. Leaving DataDesk. 3. Data. Basic Concepts. Relations, Variables, Values and Data Structure. Missing Data. Infinities. Outliners, Blunders, and Rogues. Numerals and Numeric Values. Appendix 3A: Kinds of Data. Appendix 3B: Matrices, Tables, and Relations. 4. Datadesk Concepts. Selecting Variables. HyperView Menus. Global and Context-sensitive HyperView Menus. Data Analysis Expertise. Updating Windows. Derived Variables. Following the Links. The Clipboard. ScratchPads. Presentations. Sliders. Templates. Dependencies. Information Records. Multiple Relations. Saving Datafiles. Compacting Files. Appendix 4A: Hints and Shortcuts. Appendix 4B: Hot, Warm, and Cold Objects. Appendix 4C: DataDesk Limits. 5. Entering And Editing Data. Entering Data for One Variable. Editing a Variable. Extended and Discontinuous Selection. Editing Several Variables. Entering Several Variables. Moving Around. Cutting, Copying, and Pasting. Undo. Managing Windows. Shifting Cases. More on Linking. Finding and Replacing Cases. Printing Variables Examples: Editing Data. Appendix 5A: Configure Editing. 6. Importing And Exporting. Opening Files. Data Tables. Opening Delimited Text Files. Importing Files. Copying Variables to a Data Table. Pasting Variables from the Clipboard. Writing a Data Table to a Text File. Stationary Pad Files. Appending Cases in DataDesk. Copying Selected Cases. Copying DataDesk Results. Printing from DataDesk. Appendix 6A: Importing and Exporting. 7. Simple Summaries. Summary Reports. Summaries by Groups. Summaries for Multiple Variables. HyperView Menus. Measure of Center. An Example. Measures of Spread. Order Statistics. General Summaries. Moments. Appendix 7A: The Biweight, a Robust Center. Appendix 7B: Coefficient of Skewness and Kurtosis. 8. Displaying Data. Data Analysis Displays. Plotting Conventions. Histograms. Recentering and Rescaling Histograms. Dotplots. Dotplots of Separate Variables. Boxplots. Bar Charts. Pie Charts. Scatterplots. Lineplots. Normal Probability Plots. Rotating Plots. Appendix 8A: Boxplot Definitions. Appendix 8B: Probability Plots. 9. Working With Displays. Chapter Organization. Organization of Features and Commands in DataDesk. Basic Plot Actions. Select. Link. Brush and Slice. Identify. Move. Isolate. Resize. Substitute. Symbols. Colors. Axes. Scale. Visibility. Lines. Lines and Color. Regression Lines. Working with Displays. Appendix 9A: Plot Tool Shortcuts. Appendix 9B: Selection Modes. 10. Brushing, Slicing And Rotating. Brushing and Slicing. Principles of Brushing and Slicing. Principles of Plot Rotation. Making a Rotating Plot. An Example. Seeing Patterns in Rotating Plots. Rotating Plot Options. 11. Derived Variables. The Transform Submenus. Typing Derived Variable Expressions. Updating. Subset Selection in Derived Variable Expressions. Expression Types. Expression Conventions. Dependencies. Working with Open Derived Variables. Calculating in ScratchPads. Boolean Expressions. If/Then/Else. Subscripting. Identifying Variables by Name. Dynamic Parameters. Re-expressing Data to Improve Analysis. An Example. Rules for Re-expression. Re-expressing Counted Fractions. Re-expressing Ranks. Efficiency. Indicator Variables and Logical Expressions. Working with Several Relations. Subtle Points. Common Errors and How to Avoid Them. Appendix 11A: Derived Variable. Expressions. Appendix 11B: Casewise Functions. Appendix 11C: Collapsing Functions. 12. Manipulating Variables. Sorting. Ranking. Generating Patterned Variables. Appending and Splitting Variables. Transpose. Samples. Duplicating Icons. Variable Tables. 13. Integrated Analysis. Selector Variables. Assigning Selector Variables. Dependencies. An Example. Performing Analysis by Group. HotSet Variables. Creating HotSet Variables. HotSet Selector Variables. Homogeneity. Color HotSets. 14. Layouts. Layout Windows as Notebooks. Working with Layout Windows. Text in Layouts. Linked Figures in Layout Windows. 15. Presentations. Slide Basics. Creating and Editing the Slide Show Tables. Frequency Counts and Percentages. Two Factors. Contingency Tables. Table Contents. Independence, Chi Square, and Fisher's Exact. HyperView Menus in Tables. Copying and Printing Tables. Equations. Multi-Way Tables. 16. Random Numbers And Simulation. Randomness. Creating Random Samples. Distributions. Generating Random Samples. Bernoulli Trials. Binomial Distribution. Poisson Distribution. Uniform Distribution. Normal Distribution. The Law of Large Numbers. Sampling Distribution. Central Limit Theorem. Appendix 17A: Details and Formulas. 17. Simple Inference. Confidence Intervals. Confidence Intervals for m when qsigma is Unknown. Where is the Randomness? Multiple Intervals and the Bonferroni Adjustment. Testing Hypotheses. Hypothesis Test for m when qsigma is Known. Multiple Hypothesis Tests and the Bonferroni Adjustment. Appendix 18A: Example: Simulating Confidence Interval Performance. Appendix 18B: Example: Simulating Hypothesis Test Performance. 18. COMPARING TWO SAMPLES. Displaying Differences. How to Set Up Your Data? Comparing Two Means When the Variances are Assumed Equal. Example. Formulas. Confidence Intervals for Pooled Variance. Comparing Two Means When the Variances are Not Assumed Equal. Paired Data. Example. Comparing Multiple Means When the Variances are Assumed Equal. 19. NONPARAMETRICS. Median and Means. Ties. One-Sample Sign Test. Paired Sign Test. Wilcoxon Signed Rank Test. Mann Whitney U Test. 20. Anova. An Example. Comparing Several Groups Graphically. One-Way Analysis of Variance. The ANOVA Table. Multi-Way ANOVA. Notation. Interaction in ANOVA. One Observation Per Cell. Working with ANOVA Tables. Notes on Computing ANOVA. ANOVA Options. 21. Simple Regression. Coefficients in Regression. Least Squares Regression. Predicted Values and Residuals. Performing a Regression: An Example. Inference for Regression Coefficients. The ANOVA Table for Regression. R2 and Adjusted R2. Examining Residuals. Checking Assumptions. 22. Correlation. Pearson Product-Moment Correlation. Linear Association. Correlation and Simple Regression. Correlation and Standard Scores. Correlation Tables. Spearman Rank Correlation (Rho). Kendall's Tau. Covariance. Missing Values and Correlation. Extracting Values from Correlation Tables 23. Multiple Regression. Multiple Regression. An Example. Interpreting the Regression Table. Predicted Values and residuals. Missing Values in Regression. Regression Options. Working with Regression Summary Tables. 24. Regression Diagnostics. Checking Basic Assumptions. Partial Regression Plots. Leverage. Studentized Residuals. Distance Measures. Regression Options. A Note on Identifying Cases. Collinearity. Index.


Best Sellers


Product Details
  • ISBN-13: 9780201571240
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Language: English
  • ISBN-10: 0201571242
  • Publisher Date: 18 Jul 2000
  • Binding: CD-ROM
  • No of Pages: 384


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version
Pearson Education (US) -
Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!