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Mean life of electric bulbs produced by a company is 1500 hours with a standard deviation of 300 hours. Assuming that the life of bulbs follow Normal distribution, what is the probability that a randomly selected bulb will:
i) Fail within 1200 hours?
ii) Survive between 1350 and 1650 hours?
iii) Survive beyond 1950 hours?
9. Write short notes on Normal distribution
During the 2004 election year, new polling results were reported daily. In an IBD/TIPP poll of 910 adults, 503 respondents reported that they were optimistic about the national outlook, and The President's leadership index jumped 4.7 points to 55...
What information does each measure of central tendency provide? Why are measures of variability essential statistical tools for describing behavior?
A certain airplane has two alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is.02.
If standard deviation is 50 hours and α is equal to 0.01, what values for mean x will result in rejection of null hypothesis.
Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level.
Conduct a two-sample test of means. A study by a bank compared the average savings of customers who were depositors for three years or less with those who had been depositors for more than three years.
Amount of housework done by men and women in dual-earner marriages. The study showed that 67.5% of the men felt that the division of housework was fair?
Multiple choice questions based on multiple regression - Find the coefficient of determination for the above model
A production process manufactures items with weights that are normally distributed with mean 16 pounds and standard deviation 0.15 pound. An item is considered to be defective if its weight is less than 15.8 pounds or greater than 16.2 pounds.
At the .05 significance level, can she conclude that there is a difference in the mean amount of weight loss among the three diets?
What statistic (mean, median or mode) would you use to describe each aspect of the "typical" home? For example, you might use the MEAN for price, the MEDIAN for square footage.
(A) What is the probability that none of the components will fail ??? (B) What is the probability that at least one component will fail ???
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