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The average gasoline price of one of the major oil companies has been $1.25 per gallon. Recently, the company has undertaken several efficiency measures in order to reduce prices. Management is interested in determining whether their efficiency measures have actually reduced prices. Answer the following questions for a hypothesis test that could be used to test the claim of management.
a. Develop the appropriate null and alternative hypotheses.b. What is the Type I error in this situation?c. What is the Type II error in this situation?
Construct a 99% confidence interval estimate for the population mean amount of paint included in a 1-gallon can.
Determine the minimum sample size he must select if he wants to be 90% confident that the true average time is within 10 minutes of the sample average?
I want to see two methods are the significantly same or not. Each methods has 5 variables are inside. so I would like to see each 5 variables from methods A and B are significantly the same and overall the two methods are significantly same or not..
The random variable x is the number of houses sold by a realtor in a single month at the real-estate office. Its probability distribution is:
Find the range and the standard deviation of the times.
Find the least-squares line. The slope of this regression line is Fill in the Blank 01. Enter your answer exactly as given in the JMP output.
Provide an example of a couple of variables that we work with that could meet the binomial criteria above.
We want to show that a real number, chosen at random from the interval [0,1], can be approximated to within 1/(n²) by rational numbers of the form k/n.
BDI was r =.67. Evaluate this correlation. What does this correlation tell us about the relationship between these two instruments?
Using the .10 level of significance, can we conclude there is a significant difference in the proportion of adults and the proportion of teens who rated the new video?
Suppose that a random sample of fifteen recently sold houses in a certain city has a mean sales price of $290000 , with a standard deviation of $15,000.
Quality Control A quality inspector checked for imperfections in rolls of fabric for one week. The random variable x represents the number of imperfections found.
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