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1.1  Carbondale Casting produces cast bronze valves on a 10-person assembly line. On a recent day, 160 valves were pro- duced during an 8-hour shift.  a)

1.1  Carbondale Casting produces cast bronze valves on a 10-person assembly line. On a recent day, 160 valves were pro- duced during an 8-hour shift.  a)  Calculate the labor productivity of the line.  b)  John Goodale, the manager at Carbondale, changed the layout and was able to increase production to 180 units per 8-hour shift. What […]

Part 3: Written paperYour team will write a paper collaboratively. The paper must be typed and including the following items:1. Project Title2. List of

Part 3: Written paperYour team will write a paper collaboratively. The paper must be typed and including the following items:1. Project Title2. List of team members (2 – 3 people in team group)3. Introduction: In the introduction, you should explain your question of interest pertaining to adifference in two means. Clearly discuss a quantitative variable […]

Part 3: Written paperYour team will write a paper collaboratively. The paper must be typed and including the following items:1. Project Title2. List of

Part 3: Written paperYour team will write a paper collaboratively. The paper must be typed and including the following items:1. Project Title2. List of team members (2 – 3 people in team group)3. Introduction: In the introduction, you should explain your question of interest pertaining to adifference in two means. Clearly discuss a quantitative variable […]

Assume that  =( 1, 2, 3, 4) is a random sample (see page 5 of the handout) ofthe distribution  (0, ), where  >0 is the parameter. Assume that data

Assume that  =( 1, 2, 3, 4) is a random sample (see page 5 of the handout) ofthe distribution  (0, ), where  >0 is the parameter. Assume that data have beenobtained in response to this  =(11.56,9.39,13.37,6.36)Suppose we know with certainty that  <20. Let’s use the uniform distribution ( ) between 0,20 as the prior distribution. i) Calculate the likelihood function |→ ( | ) while justifying why  ( […]

 please use R studio Question 2: Analysis of variance (ANOVA) ANOVA is a method of comparing means.The test statistics follows F distribution with

 please use R studio Question 2: Analysis of variance (ANOVA) ANOVA is a method of comparing means.The test statistics follows F distribution with parameters (k−1, n−k). Use the simulation toprove that, F = MST rt/MSE ∼ F(k − 1, n − k), by drawing the empirical and theoreticaldistribution of the test statistic. This Assignment has been solved!  Contact me to get the sample for free or order a new one […]