The United States Golf Association (USGA) tests all new brands of golf balls to assure that they meet USGA specifications. One of the tests is intended to measure the average distance traveled when the ball is hit by a machine called “Iron Byron”, a name inspired by the swing of the famous golfer Byron Nelson. The USGA proceeded to test with the Iron Byron machine over 250 golf balls of a new type called Ballistic, recording the distance travelled of each one. They then calculated a sample mean and the following 90% confidence interval [335.1; 337.1] (in meters). Based on USGA’s confidence interval they can conclude: HINT: Remember that we build confidence intervals around sample means - not individual observations.
The United States Golf Association (USGA) tests all new brands of golf balls to assure that they meet USGA specifications. One of the tests is intended to measure the average distance traveled when the ball is hit by a machine called “Iron Byron”, a name inspired by the swing of the famous golfer Byron Nelson. The USGA proceeded to test with the Iron Byron machine over 250 golf balls of a new type called Ballistic, recording the distance travelled of each one. They then calculated a sample mean and the following 90% confidence interval [335.1; 337.1] (in meters). Based on USGA’s confidence interval they can conclude: HINT: Remember that we build confidence intervals around sample means - not individual observations.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The United States Golf Association (USGA) tests all new brands of golf balls to assure that they meet USGA specifications. One of the tests is intended to measure the average distance traveled when the ball is hit by a machine called “Iron Byron”, a name inspired by the swing of the famous golfer Byron Nelson. The USGA proceeded to test with the Iron Byron machine over 250 golf balls of a new type called Ballistic, recording the distance travelled of each one.
They then calculated a sample mean and the following 90% confidence interval [335.1; 337.1] (in meters).
Based on USGA’s confidence interval they can conclude:
HINT: Remember that we build confidence intervals around sample means - not individual observations.
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