Suppose you want to estimate the mean bowling score for all participants in a large bowl he distribution of bowling scores for a random sample of 18 bowlers in the league.
Suppose you want to estimate the mean bowling score for all participants in a large bowl he distribution of bowling scores for a random sample of 18 bowlers in the league.
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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Transcribed Image Text:Suppose you want to estimate the mean bowling score for all participants in a large bowling league. The stemplot summarizes
the distribution of bowling scores for a random sample of 18 bowlers in the league.
2410
24 668
25 001124
25 55688
26 01
26 5
Key: 26 | 5 = A bowler that scored 265.
Is the Normal/Large Sample condition met? Explain.
Yes! Although the sample size is small, the graph of
the sample data shows no strong skewness or
outliers.
No, the sample size is small and the graph of the
sample data is strongly skewed to the right with at
least one high outlier.
No, the sample size is small, n = 18 < 30.
There is not enough information provided to
determine if the Normal/Large Sample condition is
met.
Yes, the data come from a normally distributed
population.
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