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It is significant to create the detailed plan of study early in development of an investigation. One part of plan is to assure adequacy of sample size. Consider the test of H0: p1 = p2 with level of significance (alpha) of 0.01 with a power which is equal to 0.90. We forecast that 20% of group 1 and 30% of group 2 will experience outcome. If we recruit the equal number of individuals in each of the groups, how many individuals do we need to study?
What is the probability the number of fatal crashes will be between 1000 and 2000 for a year?
When the non-parametric statistics utilized? Write down an example.
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
What is the probability that the variable will take the value 2? What is the mean of the distribution?
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
A doctor prescribed the drug penicillin to three different patients as a form oLtreatment for an infectious disease. It is known from the general population that 20 out of every 100 individuals are allergic to the drug.
A pair of dice is rolled. What is the probability of each of the following? (Round your answers to three decimal places.)
You are investigating the flight characteristics of different kinds of birds. You collect a sample of 33 European swallows (Hirundo rustica) and measure their air-speed velocity in a borrowed wind tunnel.
Carbon monoxide (CO) emissions for a certain kind of car vary mean 2.4 g/mi and standard deviation 0.7g/mi. A company has 60 of these cars in its fleet. Let y represent the mean CO level for the companies fleet. Estimate the probability that y is ..
Draw a tree diagram depicting the sample space outcomes for this experiment.
Suppose standard deviation stays same, how much do you have to decrease your average production time so that 95% of time you can deliver product in under 75 hours?
a) Compute a 95% Confidence Interval for the true population proportion of successes. b) Based on this analysis can you conclude that the new system meets the requirement? Explain your conclusion.
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