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Given that a population has a mean of 50 and a standard deviation of 15, what is the:
a. Mean of the sampling distribution of the mean?
b. Standard error of the mean for a sample size of 10?
c. Standard error of the mean for a sample size of 40?
Of the estimated natural gas reserves in North America, 4.59 *10^9 m ^3 are in United States. 2.66*10^9 m^3 are in Canada, and 1.99*10^9 m^3 are in Mexico.
In its third year, a football team averaged 16,050 fans per game, with a standard deviation of 2,500 fans. What is the probability that the number of fans at any given game was greater than 20,000?
Ace Jack had no idea whether the $100,000 he pays for training for his used car salespeople works.
Your director has banned the use of all artificial fingernails, claiming their use contributes to patient infections in the unit. After multiple discussions the director has allowed you to do a research study to determine if the use of artificial ..
according to the information please almanac. 80 of adult smokers started smoking before turning 18 years old. suppose
How can i find the mean of the remaining observation if the mean of 30 observation is 5
A researcher testing the affects of music on studying conducts a within participants design. The results are as follows: music 6,7,6,5,6,8,8, and no music 10,7,8,7,7,9,8
Calculated test statistic, decision about the null hypothesis interpretation of results, and a list of references consulted.
A random sample of 64 light bulbs indicates a sample mean life of 350 hours. Construct a 95% confidence interval estimate of the population mean life of the light bulbs.
the p-value for a one-sided test for a mean was 0.04. the p-value for the corresponding two-sided test would bea 0.02 b
A random sample of 900 workers in a particular city found 342 workers who had full health insurance coverage. Find a 95% confidence interval for the true percent of workers in this city who have full health insurance coverage.
We recalculated our comparison of ideal number of children, this time only for women, separating them into two groups, those who indicated that they were "very happy" or "not at all happy" with life.
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