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Please answer this question using R code. The answer for this quesiton can be easily be found with a google search, thats not what i'm looking for. I'm looking to do this using R. If you don't know what is R please don't waste your time answering this qeustion.
test the claim that the population of earthquakes has a mean magnitude greater than 1.00. use a 0.01 significance level
A population of scores has p = 44. In this population, an X value of 40 corresponds to z = - 0.50. What is the population standard deviation.
Conduct a study to examine the relationship between party affiliation and gender. You find the following:
A statistics practitioner working for major league baseball determined the probability that the hitter will be out on ground balls in 0.75. In a game where there are 20 ground balls, find the probability that all of them were outs.
reported crimes are believed to occur at random at different rates for different types of crime. the incidence rate for
every home football game for the past eight years at eastern state university has been sold out. the revenues from
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
A contractor is responsible for drainage network cleaning and shall ensure that the required level of service is achieved. The required level of service is that any point in time no more than 3% of Drainage Inlet pits and no more than 3% of Drains ar..
Why do we need a new test method to compare the means of 3 or more populations? Why can't we just use a series of z-tests or t-tests to compare all of the possible pairs of population means to see if one (or more) is different?
the mean and the standard deviation of the sample of 100 bank customer waiting times in table 1.8 are xbar5.49 and
The statistics showed that students studied an average of 20 hours per week with a standard deviation of 10 hours. What is the probability that a sample mean would exceed 20 hours per week?
Why is the F distribution important? How do you determine if a significant difference exists among the groups in ANOVA? How do you determine differences between the groups in ANOVA?
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