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Recent Data Science graduates make $115,000 per year on average with a standard deviation of $20,000. A random sample collected data from 300 graduates in Silicon Valley and found an average salary of $119,000. If we wanted to estimate μ with 99% confidence interval with a margin of error of 2000, how large a sample would we have needed?
Discuss Julian Birkinshaw on management innovation based on the videos below. Julian Birkinshaw discusses the challenges and methods of management innovation.
The Law of Large Numbers is a statistical theory that you read about in this chapter. In your own words, what does this law say about the probability of an event? Perhaps you have also heard of something called the Law of Averages (also called the..
Educated mothers. The National Center for Education Statistics monitors many aspects of elementary and secondary education nationwide.
If 4adult females are randomly? selected, find the probability that they have pulse rates with a mean less than 80beats per minute.
the life span of a battery is normally distributed with a mean of 2500 hours and at percent of batteries have a life
Consider all random samples of 64 test scores. What is the standard deviation of the sample means? (Round your answer to three decimal places)
Interest is paid semi-annually, and the debenture has 20 years to maturity. If investors require a 12 per cent yield, what is the value of the debenture?
Determine the probability that someone is under 30,- the probability that someone has a high income given that he or she is under 30,
in the 2012 us census the four most populous states ca tx ny fl had 12.1 8.1 6.3 and 6.1 of the total us population.
starting salaries of 64 college graduates who have taken a statistics course have a mean of 43500 with a standard
Comparing investments Should you put your money into a fund that buys stocks or a fund that invests in real estate? The boxplots compare the daily returns.
The average number of television sets in the sample households turns out to be 1.86, and the SD is 0.86. Find a 95% confidence interval for the average number of television sets per household.
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