A pharmaceutical company is about to launch a new manufacturing process in addition to the existing one. The quality control manager believes that the new method results in a different variation in the weights of the capsules. To verify the claim, the samples from each production line were obtained and the results are below (in mg):

Production Line 1:

99.7	99.4	95.8	99.7	101
99.2	98.9	99	98.1	98.6
99.6	99.4

(Note: The average and the standard deviation of the data are respectively 99.03 mg and 1.24 mg.)

Production Line 2:

99.3	99.2	97.5	99.9	99.5
100	99.6	98.5	100	101.2
100.5

(Note: The average and the standard deviation of the data are respectively 99.56 mg and 0.982 mg.)

Use a 10% significance level to test the claim that the standard deviation of the capsule weights in the production line 1 is different from the standard deviation of the capsule weights in the production line 2. If normality plots are not provided assume that the samples are from normal populations.

Procedure: Select an answer Two proportions Z Hypothesis Test Two variances F Hypothesis Test Two means T (pooled) Hypothesis Test Two means Z Hypothesis Test Two means T (non-pooled) Hypothesis Test Two paired means T Hypothesis Test

Assumptions: (select everything that applies)