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The average hourly wage of workers at a fast food restaurant is $6.50/hr with a standard deviation of $0.45. Assume that the distribution is normally distributed. If a worker at this fast food restaurant is seleceted at random, what is the probability that the worker earns more than $6.00?
Determine the point estimate? Give the symbol and value.
A study of 200 apples trees showed that the average number of apples per tree was 1000. The standard deviation of the population is 200. Which of the following is the 98% confidence interval for the mean number for all apples.
A manufacturer claims that the life span of its tires is 51,000 miles. Assuming the manufacturer's claim is correct, what is the probability the mean of the sample is 50767 miles or less?
The test question was if this difference between the test statistics and the stated life of the battery was significant? The .05 significant level was selected for the test. Which is the correct statement?
If the distribution of movie admission charges is approximately normal with a standard deviation of $ 0.89 . What is the probability that a randomly selected admission charge is between 6 and 8.2 dollars?
assume that the mean sat score in mathematics for 11th graders across the nation is 500 and that the standard deviation
Two strategies over the 6-year period. Create a histogram of the final fund values. Based on your simulation results, which of the two strategies would you recommend? Why?
What is the difference between calculating a confidence interval on the mean vs calculating the confidence interval on a proportion?
The sample mean of the accounts is found to be y-bar = $94.22, and the sample variance is equal to $455.21. Estimate mu and place a bound on the error of estimation.
Compute the mean and median and determine the shape of the distribution based on the sample data? Explain your conclusion.
question 1 find the mean and standard deviation of the number of cars that have more than 1 passenger among the 500
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
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