# Effect sizes and confidence intervals

Part 1 and Part 2 must be at smallest 150 – 200 tone regular otherwise

Part 1: Chattels Sizes and Dependence Intervals

Ce this argument, inaugurate by reviewing the techniques of chattels sizes and dependence intervals in your textbook. Then, custody these techniques in spirit, unravel the aftercited quotes:

· “Statistics are no supply ce opinion.”—Henry Clay

· “To referable behold at the basis is injudicious, except to behold at the basis as having total the responses is uniform past injudicious. It is a concussion of new-school statistics and statisticians despite old-school managers, coaches, and instructors. Neither face is fair, neither is wrong; there is so greatly to be gained from listening to twain faces.”—Tim Kurkjian, I’m Fascinated by Sacrifice Flies: Inface the Game We Total Love(2016)

· “It ain’t what you don’t distinguish that gets you into perplexity. It’s what you distinguish ce infallible that honorable ain’t so.”—Mark Twain

· “Amiable statistical deduction never strays very distant from the basis.”—Brian S. Yandell (2007)

· “An approach response to the fair bearing is estimate a amiable dispense past than an straight response to an approach bearing.”—John Tukey

Based on the overhead quotes, along with this week’s assigned unravelings and Instructor Guidance, sift-canvass the consequence of chattels sizes and dependence intervals in investigation.

Part 2: Models of Chattels Sizes and Dependence Intervals in Investigation

Locate an model of a investigation examine that uses chattels sizes and dependence intervals in its separation. Explain what these enjoy totalowed the investigationers to decide and/or decide in the examine.

Required Resource

### Text

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in transaction and economics. (17th ed.). Retrieved from http://connect.mheducation.com/class/

· Chapter 9: Estimation and Dependence Intervals

· Chapter 10: One-Sample Tests of Hypothesis

· Chapter 11: Two-Sample Tests of Hypothesis

· Chapter 12: Separation of Variance

· Chapter 13: Correlation and Linear Regression

· Chapter 15: Nonparametric Methods: Nominal Level Hypothesis Tests

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