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Statistics

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For algebra-based Introductory Statistics Courses in Statistics. The Tenth Edition of this best-selling introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. Incorporating more pedagogy then ever before, the text helps develop statistical thinking and teaches students to properly assess the credibil For algebra-based Introductory Statistics Courses in Statistics. The Tenth Edition of this best-selling introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. Incorporating more pedagogy then ever before, the text helps develop statistical thinking and teaches students to properly assess the credibility of inferences - from the vantage point of both the consumer and the producer. Statistics assumes a mathematical background of basic algebra.


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For algebra-based Introductory Statistics Courses in Statistics. The Tenth Edition of this best-selling introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. Incorporating more pedagogy then ever before, the text helps develop statistical thinking and teaches students to properly assess the credibil For algebra-based Introductory Statistics Courses in Statistics. The Tenth Edition of this best-selling introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. Incorporating more pedagogy then ever before, the text helps develop statistical thinking and teaches students to properly assess the credibility of inferences - from the vantage point of both the consumer and the producer. Statistics assumes a mathematical background of basic algebra.

58 review for Statistics

  1. 4 out of 5

    ☘Misericordia☘ ⚡ϟ⚡⛈⚡☁ ❇️❤❣

    13th ed

  2. 5 out of 5

    Shaniel Baldan

    This review has been hidden because it contains spoilers. To view it, click here. nice

  3. 4 out of 5

    에이미

    Time homicide, inexplicable rules, and excessive peanut butter consumption. Is it possible to regress to challenges from our early twenties? Anyone remotely close to me during the last few months would respond with an emphatic yes.  This textbook was purchased to accompany an applied statistics course. McClave and Sincich provide an almost perfect textbook during the descriptive and probability chapters. Their explanations are accessible, concise, and clear.  The problem sets are pragmatic and tho Time homicide, inexplicable rules, and excessive peanut butter consumption. Is it possible to regress to challenges from our early twenties? Anyone remotely close to me during the last few months would respond with an emphatic yes.  This textbook was purchased to accompany an applied statistics course. McClave and Sincich provide an almost perfect textbook during the descriptive and probability chapters. Their explanations are accessible, concise, and clear.  The problem sets are pragmatic and thought provoking because these academics explore the varied academic opinions regarding key specific concepts. I fear that this review may be too esoteric. Let me share a concrete example.  May mathematicians disagree about the threshold for a small sample size especially when it comes to the t versus z score debate. I love that an upwards increasing sample size makes the two indistinguishable. It's as beautiful as the color gradient/color theories explored in my childhood painting classes.  My undergraduate professors used to disparage their peers for holding an opposing stance. It's not hyperbolic to say that statisticians fight about these rules with the same passionate judgment that my female alumnae group directs towards Bernie Sanders voters. I find them both unpleasant. McClave and Sincich realize the pettiness of including this kind of dialogue in their 13th edition. Of course, the problem sets have to make a determination regarding alpha, small sample size threshold, etc. Their explanations however  demonstrate why other academics may take a different stance. This is invaluable to the layperson.  It's fair to say that their commendable, comprehensive approach is compromised when you get to the statistical modeling chapters. Where are all of the clear explanations? There are concepts and exceptions that they don't even mention. I had to resort to YouTube often.  Our diligent, amazing professor had to augment this textbook with an extra lecture on model adequacy. Understanding how the residual versus predicted plots show non-constant variance and non-linear data trends was a huge omission.  Although the later chapters need added detail, Statistics is still by far the best statistics textbook that I have encountered in an academic setting. This will be retained as a reference guide. If you are confused in statistics, I'd highly recommend that you purchase this book. This last paragraph is an addendum for my friends. I'm sorry that my inexplicably rigid social rules prevented me from accompanying you on snowshoe adventures, Blue Hill trips, Cape Cod weekends and theater performances. We can do these things after the pandemic.  

  4. 5 out of 5

    Judith

    I lost access to the e-book after shelling out $75. Big snafu with the prof and the publisher with coursecompass. I rented a print text from Chegg, but the copy was nasty. So all around I haven't been happy with the book, mostly due to TRYING to use it. I liked the MTH 241 text (Elementary Statistics)better (e.g.,formatting of tables, the callout boxes, the TI-84 instructions) so I read those chapters for the last half of this 6-wk course too. I lost access to the e-book after shelling out $75. Big snafu with the prof and the publisher with coursecompass. I rented a print text from Chegg, but the copy was nasty. So all around I haven't been happy with the book, mostly due to TRYING to use it. I liked the MTH 241 text (Elementary Statistics)better (e.g.,formatting of tables, the callout boxes, the TI-84 instructions) so I read those chapters for the last half of this 6-wk course too.

  5. 4 out of 5

    Madiha Ehsan

    relate to my course

  6. 5 out of 5

    Roger Darnell

  7. 5 out of 5

    Walker

  8. 4 out of 5

    Edward Campos

  9. 5 out of 5

    Angela

  10. 5 out of 5

    Mel

  11. 4 out of 5

    Nicolas De Jaeghere

  12. 4 out of 5

    Dylan

  13. 5 out of 5

    Au'Sha Washington

  14. 5 out of 5

    Elaine A Lennard

  15. 5 out of 5

    Timothy Groo

  16. 4 out of 5

    Aspen Miller

  17. 5 out of 5

    Shabrina

  18. 4 out of 5

    Nynke

  19. 4 out of 5

    Rainy

  20. 5 out of 5

    Daniel Schacher

  21. 5 out of 5

    Krishna

  22. 4 out of 5

    Cby

  23. 5 out of 5

    Tewit

  24. 4 out of 5

    Andrea96

  25. 5 out of 5

    Jugal

  26. 4 out of 5

    Thomas Hellinger

  27. 5 out of 5

    Monica

  28. 5 out of 5

    Rajiv Bollu

  29. 4 out of 5

    Marinaribeiro

  30. 4 out of 5

    Otto

  31. 4 out of 5

    Weinzapfel Family

  32. 4 out of 5

    Tim Martens

  33. 4 out of 5

    Samr

  34. 4 out of 5

    Christopher Motl

  35. 5 out of 5

    Christiaan Van

  36. 5 out of 5

    Joakim Ekblad

  37. 5 out of 5

    Angel

  38. 5 out of 5

    Tish

  39. 4 out of 5

    Christina

  40. 4 out of 5

    Roger

  41. 5 out of 5

    Georges

  42. 4 out of 5

    Mikkel

  43. 4 out of 5

    Becca Rahey

  44. 4 out of 5

    Kris

  45. 5 out of 5

    Timothy Allen

  46. 5 out of 5

    Erin

  47. 5 out of 5

    Dyna

  48. 5 out of 5

    Uty_disiinieyahoo.com

  49. 5 out of 5

    Alvi Akbar

  50. 5 out of 5

    Syed Obaidullah

  51. 5 out of 5

    Nada

  52. 5 out of 5

    Ahmed Ayad

  53. 5 out of 5

    Mohamed Ibrahim

  54. 5 out of 5

    Erdem Kumtepe

  55. 5 out of 5

    Mahmudul Hassan

  56. 4 out of 5

    Tuğrul çiltaş

  57. 5 out of 5

    Huy Đạt

  58. 5 out of 5

    Honggu

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