Modern Business Statistics with Microsoft Excel (MindTap Course List)
5th Edition
ISBN: 9781285433301
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning
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Chapter 13.5, Problem 32E
To determine
Test whether there is any significant effects due to class, type, and interaction effects at
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1.Display the seating capacity, fuel capacity, and miles per gallon for all aircraft manufactured by Boeing. Information about each equipment type should be displayed only once.
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SELECT EQUIP_TYPE.EQ_SEAT_CAPACITY, EQUIP_TYPE.EQ_FUEL_CAPACITY, EQUIP_TYPE.EQ_miles_per_galFROM EQUIP_TYPEWHERE EQ_EQUIP_NO IN (SELECT MIn( EQ_EQUIP_NO) FROM EQUIP_TYPE where EQ_EQUIP_TYPE LIKE 'BOE%' GROUP BY EQ_EQUIP_TYPE)
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# Create Custom Transformer
Create a custom transformer, just as we did in the lecture video entitled "Custom Transformers", that performs two computations:
1. Adds an attribute to the end of the numerical data (i.e. new last column) that is equal to $\frac{x_1^3}{x_5}$ for each observation. In other words, for each instance, you will cube the $x_1$ column and then divide by the $x_5$ column.
2. Drops the entire $x_4$ feature column if the passed function argument `drop_x4` is `True` and doesn't drop the column if `drop_x4` is `False`. (See further instructions below.)
You must name your custom transformer class `Assignment4Transformer`. Your class should include an input parameter called `drop_x4` with a default value of `True` that deletes the $x_4$ feature column when its value is `True`, but preserves the $x_4$ feature column when you pass a value of `False`.
This transformer will be used in a pipeline. In that pipeline, an imputer will be run *before* this transformer. Keep…
Chapter 13 Solutions
Modern Business Statistics with Microsoft Excel (MindTap Course List)
Ch. 13.2 - 1. The following data are from a completely...Ch. 13.2 - 2. In a completely randomized design, seven...Ch. 13.2 - 3. Refer to exercise 2.
what hypotheses are...Ch. 13.2 - Prob. 4ECh. 13.2 - 5. In a completely randomized design, 12...Ch. 13.2 - Prob. 6ECh. 13.2 - 7. Three different methods for assembling a...Ch. 13.2 - Prob. 8ECh. 13.2 - 9. To study the effect of temperature on yield in...Ch. 13.2 - Prob. 10E
Ch. 13.2 - Four different paints are advertised as having the...Ch. 13.2 - Restaurant Satisfaction. The Consumer Reports...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - Prob. 14ECh. 13.3 - Testing Chemical Processes. To test whether the...Ch. 13.3 - Prob. 16ECh. 13.3 - Marketing Ethics. In the digital age of marketing,...Ch. 13.3 - Prob. 18ECh. 13.3 - Prob. 19ECh. 13.3 - Minor league Baseball Attendance. The...Ch. 13.4 - Consider the experimental results for the...Ch. 13.4 - Prob. 22ECh. 13.4 - 23. An experiment has been conducted for four...Ch. 13.4 - Prob. 24ECh. 13.4 - The price drivers pay for gasoline often varies a...Ch. 13.4 - SAT Performance. The Scholastic Aptitude Test...Ch. 13.4 - A study reported in the Journal of the American...Ch. 13.5 - A factorial experiment involving two levels of...Ch. 13.5 - Prob. 29ECh. 13.5 - Prob. 30ECh. 13.5 - Amusement Park Queues. An amusement park studied...Ch. 13.5 - Prob. 32ECh. 13.5 - Prob. 33ECh. 13 - Prob. 36SECh. 13 - Prob. 37SECh. 13 - Assembly Methods. Three different assembly methods...Ch. 13 - In a study conducted to investigate browsing...Ch. 13 - Fuel Efficiency of Gasoline Brands. A research...Ch. 13 - Prob. 41SECh. 13 - Prob. 42SECh. 13 - Prob. 43SECh. 13 - Prob. 44SECh. 13 - CASE PROBLEM 1: WENTWORTH MEDICAL CENTER As part...Ch. 13 - CASE PROBLEM 2: COMPENSATION FOR SALES...
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