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Professor Jennings claims that only 35% of the students at Flora College work while attending school. The dean thinks that the prof. has underestimated the number of students with part-time or full-time jobs. A random sample of 81 students shows that 39 have jobs. Do the data indicate that more than 35% of the students have jobs? (Use a 5% level of significance.)
Provided an example of a research problem at any organization that would benefit from the employ of either descriptive statistics or probability distribution statistics.
The Bureau of the Census reports that the average commuting time for citizens of both Baltimore, Maryland, and Miami, Florida is approximately 29 minutes (uMiami=29 and uBaltimore=29 minutes).
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Calculate the average or the median of the average or medians of the samples and compare it with the average of the population.
By how much does the standard error of x-bar change if the sample is increased to 100?
Examine the plot of the regression residuals against t. Is there a tendency for the residuals to have long positive and negative runs? To what do you attribute this phenomenon?
There is some concern that exposure to gases used in anesthesiology might be harming health of anesthesiologists. In one study of 525 Michigan nurse anesthesiologists, 10 reported a new malignancy other than skin cancer during the previous year.
One table has a standard deviation of $50 while the other has a standard deviation of $150. What conclusion can be drawn from the data?
If random samples, each with n = 9 scores, are selected from a normal population with µ = 80 and σ = 36, then what is the expected value for the distribution of sample means?
Setermine the probability that a specific driver had exactly two violations?
The pooled variance of two samples is:
Suppose that the average annual salary for the worker in United States is $39,000.00 and that the annual salaries for Americans are normally distributed with a standard deviation equal to $7,000.00.
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