The article “Effect of Internal Gas Pressure on the Compression strength of Beverage Cans and Plastic Bottles” includes the accompanying data on the compression strength (lb) for a sample of 12-oz aluminum cans filled with strawberry drink and another sample filled with cola. Does the data suggest that the extra carbonation of cola results in a higher average compression strength? b. Create a 95% confidence interval. Write the interpretation of the interval.
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A report, effect of internal gas pressure on the compression strength of beverage cans and plastic bottles, includes the accompanying data on compression strength (lb) for a sample of 12-oz aluminum cans filled with strawberry drink and another sample filler with cola. Suppose we sample from each population and find the following: Sample Size sample mean sample standard deviation Strawberry drink m=15 540 20 Cola n=12 554 15 In a hypothesis test on μ1 − μ2 , find the estimated standard error (e.s.e.). Select one: a. e.s.e.=7.5 b. e.s.e.=6.7 c. e.s.e.=6.9 d. e.s.e.=7.7 e. e.s.e.=7.3 f. e.s.e.=7.1 g. e.s.e.=6.5 h. e.s.e.=7.9
Maardava S.
An article includes the accompanying data on compression strength (lb) for a sample of 12-oz aluminum cans filled with strawberry drink and another sample filled with cola. Beverage Sample Size Sample Mean Sample SD Strawberry Drink 15 530 23 Cola 15 551 18 Does the data suggest that the extra carbonation of cola results in a higher average compression strength? Base your answer on a P-value. (Use α = 0.05.) Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) t = P-value =
Adi S.
11. (10 points) In a study, a sample of 12-oz aluminum cans filled with strawberry drink and another sample filled with cola are collected, and the compression strength (lb) is measured on them. The data is summarized below: Sample size: Mean: 540, 554 Standard deviation: 19 Strawberry drink: 10 Assuming the variances of compression strength for strawberry drink and cola are the same, construct the 98% confidence interval of the difference of the average compression strength between strawberry drink and cola. Does it look like the two population means are different? What other assumptions do you make here? Justify the assumption in part A by constructing the 98% CI for oz/oz where oz and o3 are the population variances of the populations of compression strength for strawberry drink and cola, respectively.
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