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The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
(a) Find the probability that the family's monthly gasoline purchases will be between 86 and 96 gallons.(b) Find the probability that the family's monthly gasoline purchases will be less than 87 gallons.(c) Find the probability that the family's monthly gasoline purchases will be more than 75 gallons.
Construct a 95% confidence interval for the proportion and calculate the P value for the given test.
State the quick rule for a significant correlation and explain its limitations. What sums are needed to calculate a correlation coefficient? What are the two ways of testing a correlation coefficient for significance?
What type of probability distribution is presented? Find the probability that exactly 5 of his saplings will die in that first winter. Round to 4 decimal places. Find the probability that 5 or less of saplings will die in that first winter. Round to ..
What is the probability trading volume will be less than 400 million shares?
Sarah is a 60 year old Anglo female in reasonably good health. She wants to take out a $50,000 term life insurance policy until she is 65.
It is estimated that 3% of the athletes competing in a large tournament are users of an illegal drug to enhance performance. The test for this drug is 90% accurate.
In forestry there appears to be a correlation between the diameter of a tree at breast height and the totol height of the tree. For the following sample of ten white spruces first construct a scatter plot then find the correlation (r) between heig..
Either use the p-value approach to hypothesis testing or use the significance level approach with α = .05.
A chance sample of 50 families revealed an average or median of $112,000 and a standard deviation of $40,000. What is the standard error of the average or median?
Convert each of the following z intervals to raw score x intervals:
At the .05 level of significance, is there evidence of a difference in the mean ontime percentages for the 25 airports between September 2009 and September 2010?
Can we reject the hypotesis that the birthays are equally during each season of the year? use the 0.10 level of significance
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