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Share 1 real-world binomial distribution situation and 1 real-world Poisson distribution situation. Be sure to explain why each example is defined as binomial or Poisson. How would you characterize the difference between the two types of distributions?
If the estimate is to be within 8 mpg of the true mean with 98% confidence and the estimated standard deviation is 22 mph, how large a sample size must be taken?
What is the expected number of Republicans who will win office in the coming election?
Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?
An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of two emails per hour. Suppose the arrival of these emails is approximated by the Poisson distribution.
Is there sufficient evidence to support the claim that site has an effect on the amount of pesticide?
Create a scatter diagram and consider the correlation for the given data. Create a scatter diagram and sketch the line you think best fits the data.
The sampling distribution of the average score and Suppose x' is your average pay for the 100 weeks. Then x' has approximately
A farmer in Iowa owns 45 acres of land. He is going to plant each acre with wheat or corn. Each acre planted with wheat yields $200 profit, requires 3 workers, and requires 2 tons of fertilizer; each with corn yields $300 profit, requires 2 worker..
If the observed value is 4, the expected value is 5, and the standard error is 4, then the test value used for the z test is equal to
If an original set of measurements is made in inches and has mean of 36 and variance of 144, what will be the mean, variance, and standard deviation if:
Plot a scatter diagram of the results with Depth of Water as the independent variable.
How does your sample compare to this theoretical distribution of sample means and what are the mean, variance, and standard deviation of the observations in your sample?
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