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A sample of 250 observations is selected from a normal population for which the population standard deviation is known to be 24. The sample mean is 20.
A- Determine the standard error of the mean. (Round your answer to 3 decimal places.)
B- Determine the 99% confidence interval for the population mean. (Round your answers to 3 decimal places.)
Suppose a recent poll of 1,000 people sets forth that 51% of Americans support the U.S. government's "War on Drugs." This poll is shown to have a margin of error of 2%.
Write down a paragraph about the normal distribution. In the paragraph give an example of a distribution that you would judge to be nearly normal and explain why you have made that conclusion.
A random sample of 9 homes was selected in the neighborhood. What's an estimate of the average price of the houses in the sample?
What are the null and alternative hypotheses to test if the new battery has longer life than the old battery? Draw a conclusion for the hypothesis test. Make sure you state your conclusion in the context of the problem.
Construct a 95% confidence interval for the population mean.
Describe how the confidence intervals will change depending on whether the population standard deviation is known or unknown.
10 cartons are taken at random from an automatic filling machine.The mean net weight of the carton is11.8 kg and standard deviation of 0.15kg. Does the sample mean differ significantly from the intended weight of 12kgs?
We measure the self esteem scores of a sample of statistics students, reasoning that this course may lower their self esteem relative to that of the typical college student (µ=55 and σ x =11.35) We obtain these scores:
Use the least-squares method to compute the regression of coefficients b0 and b1.
Here is my data: these are the wages for women with a 2 yr degree, $11,702, $24,509, $34,746, $35,185 (median of $29,627) These are the wages for women with a 4 yr.
suppose that your wireless mouse has a single battery and that you buy batteries that have a mean lifetime of 6 weeks
mens heights are normally distributed with a mean of 69.5 in. and standard deviation of 2.4 in. womens heights are
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