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We know many types of data fall into a normal distribution with most of the observations falling towards the middle. However sometimes data ar eoutliers or data that are very differnet from the rest of the memembers of the sample. Think an example in the real world of an outlier and discuss its effects.
each year ratings are compiled concerning the performance of new cars during the first 90 days of use.suppose that the
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
10% of the north district students failed, 15% of the south district students failed, and 5% of the central district students failed. Develop a joint probability table.
What is the Chi-square test? Where can you apply it? Please site an example of how it was used and the outcome of the test. I think this could help me better than the book, it is difficult to understand.
Mazda 6s resulting from a 10-mph crash into a concrete wall, the research group tests six cars of this type and assesses the amount of damage. Describe the population and sample for this problem.
Is there enough evidence to support the consumers conjecture at a=0.05. First, indentify the alternative and the null hypotheses.
question a graduate student has decided she needs a day at the beach. she will need a swimsuit a pair of sunglasses and
question in a study on the health and development of a bird species yellow robin two different sites were compared
in a random sample of 40 felons convicted of aggarvated assault it was determined that the mean length of sentencing
Using a level of significance of .10, is there evidence that the dual degree students are receiving lower grades? Fully explain your answer.
Find out the constant using probability density function also cumulative distribution function. Assume X be a continuous random variable with probability density function.
consider a simple card game where there are four cards labeled 1 2 3 and 4. each round my friend first draws a card
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