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The average gasoline price of one of the major oil companies has been $2,25 per gallon. Recently, the company has undertaken several efficiency measures in order to reduce prices. Management is interested in determing whether their efficiency measures have actually reduced prices. That is, the alternative hypothesis is that the current average price is less than $2.25. A random sample of 49 of their gas stations is selected and the average price is determined to be $2.20. Assume that the standard deviation of the population is $0.14.
At 95% confidence, test to determine whether the measure were effective in reducing the average price.
What are the limitations and assumptionbs of the t-test? What are some examples in your field (Nursing) for which you might use a t-test to compare a sample to the population and why?
At a national seashore, the number of swimmers per day who require lifeguard assistance averages 4.1, on any day when 7 or more swimmers are assisted, the lifeguards receive a $20 bonus for extra effort.
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
What is the expected number of customers that will have to wait more than 6 hours?
The MIT team will receive 2 points for a win, 1 for a tie. and 0 for a loss. Find the PMF of the number of points that the team earns over the weekend.
The mean difference in total cholesterol levels (after - before) was 27.138 mg/dL with a standard deviation of 7.3685 mg/dL. Create a 95% confidence interval for the true average difference in cholesterol levels by the drug.
What quantitative method can be applied to help the Department make the decision? Outline how this method can be applied and explain how a qualitative method can also be applied to help the Department make the decision
The following data (in pounds), which were selected randomly from a normally distrubuted population of values, represent mearsurements of a machine part that is supposed to weigh, on average, 8.3 pounds.
Compute the mean and variance of the following discrete probability distribution. A cola-dispensing machine is set to dispense on average 7.00 ounces of cola per cup. The standard deviation is 0.10 ounces. The distribution of amounts dispensed foll..
A machine produces parts with lengths that are normally distributed with ? = 0.59. A sample of 19 parts has a mean length of 76.26.
Use the five-step p-value approach to hypothesis testing and a 0.05 level of significance to determine whether the proportion of full-time students at Miami University is different from the national norm of 0.46.
What is the predictive value of a negative test result? In other words, what is the probability that an individual who returns a negative tests for hypertension is not hypertensive? Please give your answer to 3 decimal places.
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