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A random sample of 66 bags of white cheddar popcorn​ weighed, on​ average, 5.43 ounces with a standard deviation of 0.25 ounce.

Test the hypothesis that μ = 5.7 ounces against the alternative​ hypothesis, μ < 5.7 ​ounces, at the 0.05 level of significance.

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Answer with explanation:

As per given , we have to test hypothesis :


H_0:\mu=5.7\\\\ H_a:\mu<0.57 , where
\mu = Population mean.

Since the alternative hypothesis is left--tailed , so test is a left-tailed test.

Sample size : n=66

Sample mean :
\overline{x}=5.43

sample standard deviation : s= 0.25

Also, population standard deviation is not given , so we will perform a left tailed t-test.

Test statistics :
t=\frac{\overline{x}-\mu}{(s)/(√(n))}


t=(5.43-5.7)/((0.25)/(√(66)))


t=(-0.27)/((0.25)/(8.12403840464))\approx-8.77

For significance level 0.05 and degree of freedom 65 (df=n-1), we have

Critical t-value =
t^*=t_(0.01, 65)=-1.669 [Using student's t-distribution table]

Decision : Since -8.77(calculated t- value)< -1.669(Critical value) , it means it falls under rejection region.

i.e. We reject the null hypothesis.

Conclusion : We have sufficient evidence to support the alternative hypothesis μ < 5.7 ​ounces .

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