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The life spans of car batteries are normally distributed, with a mean of 44 months and a standard diviation of 5 months.
A) A car battery is selected at random. Find the probability that the life span of the battery is less than 36 months.
B) A car battery is selected at random. Find the probability that the life span of the battery is between 42 and 60 months.
C) What is the shortest life expectancy a car battery can have and still be in the top 5% of life expectancies?
For a t distribution with 16 degrees of freedom, find the area, or probability, in each region.
A study is conducted to assess the impact of caffeine consumption, smoking, alcohol consumption, and physical activity on risk of cardiovascular disease.
Sample data recently collected indicate that Dough Boy's crusts average 30 centimeter in diameter, with a standard deviation of 1.1 centimeters.
Compute and interpret each of the statistics in parts(a) through (f) Mean and Median.
a two-sample t test is going to be carried out where it is assumed that the population variances are unknown but
Provide an example of an application of the normal distribution. Explain why standard normal distribution can be used to find the probabilities for all normal distributions?
Find out the operating characteristics for this system.
If a manager wishes to develop a confidence interval estimate for estimating the difference between two population means, an increase in the size of the samples used will result in:
What are the mean and standard deviation of the proportions of random samples of 400 motorcylce owners who own Harleys?
a television station estimates that 60 of college students watch the super bowl. for a sample of 240 students selected
Calculate a 95% confidence interval for the mean endowment of all the private colleges in the United States assuming a normal distribution for the endowments.
The American Bar Association conducted a survey in 1986 showed that the average income of lawyers in 1986 was $ 120,000. An investigator took a sample of 64 lawyers in 1990, produced a median income of $ 140,000 with a standard deviation of $ 24.5..
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