Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.
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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches. Seller Inventory # 00109910403
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Condition: Very Good. Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches. Seller Inventory # CIN1119682169VG
Seller: 4085dobson, Boynton beach, FL, U.S.A.
Condition: Good. 3rd Edition. Seller Inventory # ABE-1784856725202
Seller: Textbook Bookie, Little Rock, AR, U.S.A.
No binding. Condition: Fair. Book in Fair condition. Seller Inventory # 9781119682165-acceptable
Seller: Mahler Books, PFLUGERVILLE, TX, U.S.A.
Loose Leaf. Condition: Very Good. Third Edition : Loose Leaf Edition. This book is in very good condition; no remainder marks. It does have some edge wear. Inside pages are clean.; 12 x 10 x 3 inches; 864 pages. Seller Inventory # 07SA26-930-151
Seller: Textbooks_Source, Columbia, MO, U.S.A.
loose_leaf. Condition: New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 005083166N
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 42256193
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 42256193
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Condition: New. Seller Inventory # V9781119682165
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 42256193-n