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A large electronics company wants to estimate the proportion of all households that own GPS machines. What sample size is required that would give the maximum error of 2.0% for a 95% confidence interval? An unscientific survey had a result of 30%.
Explain these results to a person who understands the t test for a single sample but knows nothing about the t test for independent means.
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
Describe a specific application of statistics that either has a direct effect on you or your life.
Produce a printout of the frequency tables, showing the total of both frequencies.
The route used by a certain motorist in commuting to work contains tow intersections with traffic signals. The probability that he must stop at the first signal is 0.4, the analogous probability for the second signal is 0.5. and the probability th..
Professor Jennings claims that only 35% of the students at Flora College work while attending school. The dean thinks that the prof. has underestimated the number of students with part-time or full-time jobs.
Create a 95% confidence interval for population proportion of positive drug tests.
Critically discuss why you would or would not expect each of the following variables to be normally distributed.
11.9% reported they were in fair or poor health, including 10.5% of the married people, 19.6% of widows, 16.7% of divorced or separated, 12.5% of those never married, and 14% of those living with an unmarried partner.
A random variable is normally distributed, with (population mean)= 300 pounds and (standard deviation) = 50 pounds. How small can a simple random sample be if the standard error of the mean can be no more than 20 pounds?
Your company has experienced problems with employee morale and productivity. The consultant that was hired submits a report that includes opinions and data collected from 300 secretaries and clerks as well as 75 senior managers.
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