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Suppose you believe that two variables X and Y are related, but you have no idea which way the causality goes.
Does X cause Y or vice versa (or maybe even neither)?
Can you tell by regressing Y on X and then regressing X on Y? Explain.
Also, provide at least one real example where the direction of causality would be ambiguous.
Class where the mean is 85 and the standard deviation is 4.59, who did better relative to their class? Note both did better than the class mean. How do you answer this question?
Suppose adults have basically distributed IQ scores with a mean of 100 and an SD of 15. Find P65, the 65th percentile. Use the Z table.
A researcher finds a correlation between self esteem and shyness is -0.50, which is significant for his sample. Interpret this correlation.
Determine the average amount of time that a guest spends checking in. How would this change under each of the state options?
consider a virus that is spread by transfusions of blood contaminated by the virus a person receiving contaminated
The level of significance indicates the probability of rejecting a false null hypothesis.
When testing the executive's (using a 1% level ofsignificance), what can you conclude concerning the null hypothesis? Reject the null hypothesis or Fail to reject the null hypothesis?
Define, describe and provide an example of the Komologrov-Smirnov distribution. Use MS-Excel (if possible) to solve this problem, also Show all your work in obtaining the answer.
The number of lightning strikes in a year at the top of a particular mountain has a Poisson distribution with a mean of 4.2. Find the probability that in a randomly selected year, the number of lightning strikes is 0.
1.a researcher wanted to know if the content of television programs has an impact on viewers recall of ad content. he
After being repaired, a machine functions for an exponential time with rate λ and then fails. Upon failure, a repair process begins. The repair process proceeds sequen- tially through k distinct phases. First a phase 1 repair must be performed, th..
Determine the 90% confidence interval for average days worked by employees in all payroll departments?
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