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The iq test score are normally distributed with a mean of 100 and a standard deviation of 15. Determine the probability that the person would score 130 or more on the test?
Critically discuss some examples of literature reviews and statistics used and available at your work place or organization? What are they used for and how are they determined?
Texas Company produces and sells 22,000 units of a single product. Costs associated with this level of production are as follows:
A sample of 60 smokers has a mean cotinine level of 125. Assuming that sigma=25, find the 90% confidence level estimate of the mean cotinine level of all smokers.
Find the KKT point for the followin problem: maximize the area of a rectangle whose perimeter is fixed as 2d(>0) and whose width must be less than or equal to twice its length.
a) Explain why it would be hard to take a Simple Random Sample? b) Describe how to take a cluster sample of chocolate chip cookies.
For a sample of engineers, the mean salary is $95,000 with a standard deviation of $30,000. The median value is $80,000. What is the relative shape of the distribution and coefficient of skewness?
What level of confidence is associated with an interval of .400513 to .515487 for the long run proportion of new product placements?
Provided an example of a research problem at any organization that would benefit from the employ of either descriptive statistics or probability distribution statistics.
Suppose that X1,..,Xn form a random sample from the normal distribution with unknown mean M and unknown standard deviation S, and let m and s denote the MLEs of M and S. for the sample size n=17, find a value of k such that P(m > M +ks) = 0.95
In the belief that Statistics is too hard, a student claims that the mean score on a final exam is less then 70. 15 scores will be chosen at random to test this claim.
A random sample of 85 group leaders and supervisors revealed that they worked an average of 6.5 years before being promoted. The population standard deviation was 1.7 years. Using the 0.95 degree of confidence, what is the confidence interval for ..
You decide to predict gasoline prices in different cities and towns in the U.S. for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income
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