A random sample of 12 pea tins from a canning factory's production is selected on a given day, and their contents are weighed. For the sample, the weight's mean and standard deviation are, respectively, 301-8 g and 1-8 g. The mean weight of peas in tins produced by the factory on the relevant day should have 99% confidence limits. The mean and standard deviation of the contents for this sample are 302-1 gm and 1-6

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4b.1
A random sample of 12 pea tins from a canning factory's production is selected on a given day, and their contents are weighed. For the sample, the weight's mean and standard deviation are, respectively, 301-8 g and 1-8 g. The mean weight of peas in tins produced by the factory on the relevant day should have 99% confidence limits.
The mean and standard deviation of the contents for this sample are 302-1 gm and 1-6 gm, respectively, the day after another random sample of 12 tins is obtained. Assuming
A 95% confidence interval demonstrates that the variances of the weights are the same on the two days interval includes 0 for the mean weight difference between the two days.
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Now suppose that the samples from both days come from the same population. Using both samples, calculate a 99% confidence interval for the mean weight of tins in that population.

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