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Lay out the design for two between-subjects experiments: a) an experiment involving an experimental group and a control group, and b) a factorial design with three independent variables that have 3, 2, and 2 levels, respectively
The diameters of a wooden dowel produced by a new machine are normally distributed with a mean of 0.55 inches and a standard deviation of 0.01 inches. What percent of the dowels will have a diameter less than 0.57?
Write 1-2 paragraphs for each component of the model (days-to-repair; interval between breakdowns; lost revenue; putting it together).
The National Survey of Student Engagement (NSSE) surveys freshmen and seniors about their level of engagement in campus and classroom activities that enhance learning.
Determine the test criteria that would be used to test Ho: u 1.0 with n=18 and significance level of 0.01 using the classical approach.
A person decides to take a telephone survey of 40 families in the 721-exchange area (sometimes referred to as prefix). You want an excellent representation of all subscribers in the exchange area.
A bank wants to get new customers for their credit card. They try two different approaches in their marketing campaign. The first promises a "cash back" reward; the second promises low interest rates. A sample of 500 people are mailed the first br..
According to the hypothesis that the current year's seed does not meet the 85% germination rate standard at the 5% level of significance. What is the corresponding test statistic value?
At the end of 24 weeks of treatment, subjects were classified as responders or non-responders to treatment based on a battery of psychological tests.
A single test on a certain device costs more than the entire lot. It is therefore decreed that not more than three tests will be performed per lot.
How would figure out a 90% and 95% confidence interval for the below informaion? What would be the formula? Can I figure this out in Excel or Megastat? How would I do that?
Show the complete ANOVA table for this test including the test statistic. The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Unfortunately, the reliability of this test is only 80%, which means that 20% of the tested will get a false positive.
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