Bernard ran an experiment to test optimum power and time settings for microwave popcorn. His goal was to deliver popcorn with fewer than 12%
of the kernels left unpopped, on average. He determined that power 9 at 4 minutes was the best combination. To be sure that the method was successful, he
popped 8 more bags of popcorn (selected at random) at this setting. All were of high quality, with the percentages of unpopped kernels shown below.
7.87.8, 5.85.8, 12.612.6, 8.78.7,10.510.5, 9.29.2, 2.92.9, 8.58.5
Does this provide evidence that he met his goal of an average of fewer than 12% unpopped kernels? Use 0.05 as the P-value cutoff level.
Calculate the test statistic
t=
From the given sample data : Sample size=n=8 , ,
Therefore , Sample mean=
Sample standard deviation=s=
Also given that , Significance level=
Hypothesized value=
Hypothesis : Vs
The test statistic is ,
The p-value is ,
p-value= ; From excel "=TDIST(3.6235,7,1)"
Decision : Here , p-value=0.0042<
Therefore , Reject the null hypothesis.
Conclusion : Hence , the data provide the sufficient evidence that he met his goal of an average of fewer than 12% unpopped kernels.
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