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Use traditional hypothesis test approach. Draw a graph showing the test statistic and critical values. Assume the population has a distribution that is approximately normal and that the sample is a simple random sample. Use either the normal distribution or Student t distribution-check conditions to be sure which is appropriate.
List shows winning time in seconds of men in the 100 meter dash for consecutive summer games listed in order by row. Assuming that these results are sample data randomly selected from the population of all past and future Olympic games, test the claim that the mean time is = to 10.5 seconds. What do you observe about the precision of the numbers? What extremely important characteristic of the data set is not considered in this hypothesis test? Do the results from the hypothesis test suggest that the future winning times should be around 10.5 seconds and is such a conclusion valid?
12.0 11.0 11.0 11.2 10.8 10.8 10.8 10.6 10.8 10.3 10.3 10.3 10.4 10.5 10.2 10.0 9.95 10.14 10.06 10.25 9.99 9.92 9.96
The following data represents the amount of time in minutes that a person had to wait for a bus to work on a random sample of 5 working days.
The past history shows that 60% of employees prefer Starbucks brand coffee. A sample of 5 employees is selected, what is the probability that less than 3 prefer Starbucks?
Given that the mean of all 102 atomic numbers is 51.794, and the population standard deviation is 29.804, what is the probability that the mean of the 40 atomic numbers selected by the student will be at least 57.3?
Using the telephone numbers listed in your local directory as your population, randomly obtain 20 samples of size 3. From each telephone number identified as a source, take the fourth, fifth, and sixth digits.
Consider the following data values of variables x and y. The equation of the least-squares regression line for this data is
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 69.09 inches and standard deviation s of 4.71 inches.
Construct a 90% confidence interval for the true mean weight. What sample size would be necessary to estimate the true weight with an error of plus or minus .03 grams with a 90% confidence?
The 95% prediction interval for a new patient with a 2-day cholesterol level of 220 is
A sample of 4 trucks is randomly selected. What is the probability that 2 of those tested have defective brakes? (Round your answer to 4 decimal places.)
To forcast the sample size within 0.02 with 90 percent confidence. The CEO of the organization needs to forcast the proportion of Canadians who own their house.
A film alliance used a random sample of 50 U.S. citizens to estimate that the typical American spent 78 hours watching videos and DVDs last year. The standard deviation of this sample was 9 hours.
Average performance evaluation is higher for managers hired from outside firm compared with those promoted from within? What other stories does this graph tell?
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