Based on the sample results, can the management of the Seaside Golf Course conclude that the average speed of play was different in 2006 than in 2005? Conduct the appro- priate hypothesis test at the 0.10 level of significance. Assume that the management of the club is willing to accept the assumption that the populations of playing times for each year are approximately normally distributed.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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The management of the Seaside Golf Club regularly monitors the golfers on its course
for speed of play. Suppose a random sample of golfers was taken in 2005 and another
random sample of golfers was selected in 2006. The results of the two samples are as
follows:
2005
2006
I2 = 219
S1 = 20.25 s2 = 21.70
n2 = 31
I = 225
%3D
n1 = 36
Based on the sample results, can the management of the Seaside Golf Course conclude
that the average speed of play was different in 2006 than in 2005? Conduct the appro-
priate hypothesis test at the 0.10 level of significance. Assume that the management of
the club is willing to accept the assumption that the populations of playing times for
each year are approximately normally distributed.
Transcribed Image Text:The management of the Seaside Golf Club regularly monitors the golfers on its course for speed of play. Suppose a random sample of golfers was taken in 2005 and another random sample of golfers was selected in 2006. The results of the two samples are as follows: 2005 2006 I2 = 219 S1 = 20.25 s2 = 21.70 n2 = 31 I = 225 %3D n1 = 36 Based on the sample results, can the management of the Seaside Golf Course conclude that the average speed of play was different in 2006 than in 2005? Conduct the appro- priate hypothesis test at the 0.10 level of significance. Assume that the management of the club is willing to accept the assumption that the populations of playing times for each year are approximately normally distributed.
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