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The data set drums. txt contains weights that were made on 30 drums of a chemical product. Weights were taken before the drums were filled (empty drum weight) and after the drums were filled (full drum weight).
(a) Construct a runs chart for the empty weight. Include a line at the average empty weight for reference and comment on the chart.
(b) Construct a runs chart for the full weight. Include a line at the average full weight for reference and comment on the chart.
(c) Construct a runs chart for the net weight. Include a line at the average and a line at the target of 411 and comment on the chart.
1. Find the probability of at least one offer. What is the probability that Julie is offered at least one of the three jobs?
Compute the mean and variance of the discrete probability distribution and determine the probabilities of the following events using the binomial formula.
suppose that a group of 100 consumers are asked to rate how much they liked the taste of a new soft drink on a 5-point
Now suppose that a finished product is randomly selected. What is the probability that it is defective?
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Table 1 shows the number of applicants to graduate school at Berkeley for the six largest departments in 1973 by gender and department. Table 2 shows the number of rejected applicants by gender and department. Recall the notation GM, GF , DA, DB, ..
To report their finding they want to create a 90% confidence interval. What would be the margin error for this confidence interval?
1. Provide a description of one method for estimating the reliability and one method for substantiating the validity of a test. 2. Discuss the conditions under which each method is appropriate and/or inappropriate.
suppose on the upcoming weekend there is a 50 chance of rain on saturday and a 40 chance on sunday. furthermore suppose
A study is conducted to investigate body mass index (BMI) in children living in urban neighborhoods. The following data are collected. 29 26 24 32 30 22 27 28 31. Compute the median.
By using the normal probability distribution, what is the probability the car will be repaired in 35 minutes or less?
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