The following data are from a completely randomized design. Treatment C 163 141 127 141 155 121 164 123 139 146 142 141 149 136 150 167 161 126 Sample 155 143 134 mean Sample variance 120.4 184.4 122.4 (a) Compute the sum of squares between treatments. (b) Compute the mean square between treatments. (c) Compute the sum of squares due to error. (d) Compute the mean square due to error. (Round your answer to two decimal places.)

You work for a soft-drink company in the quality control division. You are interested in the variance of one of your production lines as a measure of consistency. The product is intended to have a mean of 12 ounces, and your team would like the variance to be as low as possible. You gather a random sample of 16 containers. Estimate the population variance at a 80% level of confidence. 11.82 11.83 11.85 11.89 11.9 11.97 12 12 12 12.01 12.02 12.04 12.05 12.11 12.16 12.18 Variance of Data: 0.012 Note: Round all values to 3 decimals and use those rounded values in subsequent calculations. a) Find the lower and upper x critical values at 80% confidence: Lower: Upper: b) Report your confidence interval for o?: Lower Bound: Upper Bound:

Varatta Enterprises sells industrial plumbing valves. The following table lists the annual sales amounts for every salesperson in the organization for the most recent fiscal year. Salesperson Sales Amount ($1000) Salesperson Sales Amount ($1000) Joseph 148 Wei 466 Jennifer 231 Samantha 409 Phillip 548 Erin 299 Stanley 329 Dominic 322 Luke 294 Charlie 189 Lexie 193 Amol 212 Margaret 369 Lenisa 412 (a) Compute the mean (in $), variance, and standard deviation (in $) for these annual sales values. (Round your answers to the nearest whole number.) mean$variancestandard deviation$

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