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Solutions to problems related to calculating probabilities using the normal distribution, finding confidence intervals, and testing hypotheses. It includes formulas, calculations, and interpretations of results for various sample sizes and standard deviations.
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Bottles of liquid soap are normally distributed in weight with a mean of 64 ounces and a standard deviation 0.5 ounces.
(a) Let various random samples of size 21 be collected. Compute P (0.47 ≤ S ≤ 0.55).
With n = 21 and = 0.5:
( n − 1) S^2 2 ≤^
Use 2 cdf(17.672, 24.2, 20)
(b) Suppose is unknown, but a random sampling of 26 bottles yields S = 0.60. Find a 95% confidence interval for the true standard deviation.
Use the 95% chi-square scores from the 2 ( n − 1) = 2 (25) curve which are L = 13.12 and R = 40.65.
( n − 1) × S^2 R
( n − 1) × S^2 L
(c) Using S = 0.60 from a sample of 26 bottles, is there evidence, at the 10% level of significance, to reject the claim that = 0.5? State null and alternative hypotheses, give the test-statistic and P -value, and use the P -value to explain your conclusion in detail.
With S = 0.6 and n = 26 : We test H 0 : = 0.50 vs. Ha > 0..
The test stat is
( n − 1) S^2 2 =^
= 36. The P -value is 2 cdf(36, 1E99, 25) ≈ 0..
(Use the right tail for Ha > 0.50 .)
If = 0.50 were true, then there is a 7.16% chance of obtaining an S of 0.60 or larger with a sample of size 26. There is enough evidence to reject H 0 with a 10% level of significance