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Individual scores of a placement examination are normally distributed with a mean of 84.2 and a standard deviation of 12.8.
If a random sample of size n = 20 is selected, find the probability that the sample mean will be less than 90.0.
A combination of content and supportive examples would be greatly appreciated.
Average cost of $3,200 for products. n=25. After review it seems mean cost is $2,000 with a standard deviation of $150. Test that average cost is $3,200 or more versus $2,000. assume level of significance of .05.
Using the given data set, find (a) the sample mean, (b) the sample standard deviation, (c) construct a 98% confidence interval for the population mean μ.
A study regarding the relationship between age and the amount of pressure sales personnel feel in relation to their jobs revealed the following sample information.
The application envelopes at random looking for 10 applicants with GRE scores over 600. How many envelopes do you think the staff will need to open?
What is the difference between strong positive and strong negative correlation? Is there value in a strong negative correlation? If so, what? In your answer provide examples from your life.
In 2002 the Supreme Court ruled that schools could require random drug tests of students participating in competitive after-school activities such as athletics.
The sum of the cross-products of Z scores gives you a large positive number if there is a positive correlation and a large negative number if there is a negative correlation.
Is it possible to normalize the data when the population shape has a known skew? How would you demonstrate the central limit theorem to your classmates?
Compute 99% confidence intervals for the average daily maximum temperature in August for each of the three years in which you collected data. How do they compare?
A study was conducted to determine whether there were significant differences between medical students admitted through special programs (such as affirmative action) and medical students admitted through regular criteria.
Find a 90% confidence interval on the difference in the mean number of production units for the two shifts.
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