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The sample of 16 patients in the doctors office illustrated that they had to wait the average of 43 minutes with a standard deviation of 8 minutes before they could see doctor. Give the 99% confidence interval for average waiting time for all of patients who visit doctor.
What is the expected duration of the game? Given the same CIC, how much more money should Alice have ititially so as to maximize the expected duration of the game?
Why is it important to know the standard deviation for a given sample? What do researchers learn about a normal distribution from knowledge of the standard deviation?
We want to test the hypothesis about fairness of spinning the coin. Evaluate the true proportion of heads. Use 95% confidence interval. Do not forget to check conditions first.
To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments.
Let x be a random variable that represents the commute time of teachers in a large urban area. If x is normally distributed with a mean of 46 minutes and a standard deviation of 5 minutes, find the commute time which is at the top of the bottom 25..
Discuss ratio, interval, nominal and ordinal variables. Explain what is meant by a margin of error for a confidence interval.
The following data represent scores of 50 students in the applied business statistics test. Prepare the frequency distribution table and the frequency histogram for this data set.
A small town has a population of 20,000 people. Among these 1,000 regularly visit a popular local bar. A sample of 100 people who visit the bar is surveyed for their annual expenditures in the bar.
Find the probability of each value of X. Draw a histogram to display this distribution. (Because probabilities are long-run proportions, a histogram with the probabilities as the heights of the bars shows what the distribution of X would be in ver..
What is the most probable number of patients arriving each Saturday and give the main assumptions we make when we model the above situation using a Poisson distribution.
If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.
The manager of a car wash receives pricing schedule (shown below) from the vendor who supplies soap- and a promise of a 25% shorter lead time for deliveries.
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