Discrete and continuous data
Distinguish between discrete and continuous data in brief.
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Discrete data are whole numbers. They take on particular values and no values in between. Data like the number of homes one has could be one or two as an example of discrete data as one could not own one and a half homes.Continuous data is a random variable and can take on any value on a range. An example of temperature could be 30.23 degrees.
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Random variables with zero correlation are not necessarily independent. Give a simple example.
A) What is the probability of getting the following sequence with a fair die (as in dice):B) What is the probability of getting the same sequence with a die that is biased in the following way: p(1)=p(2)=p(3)=p(4)=15%;
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The number of trucks coming to a certain warehouse each day follows the Poisson distribution with λ= 8. The warehouse can handle a maximum of 12 trucks a day. What is the probability that on a given day one or more trucks have to be sent away? Round the answer
Explain sampling bias and describe how random sampling serves to avoid bias in the process of data collection.
Suppose we have a stick of length L. We break it once at some point X _ Q : Error probability As of last year, only As of last year, only 20% of the employees in an organization used public transportation to commute to and from work. To determine if a recent campaign encouraging the use of public transportation has been effective, a random sample of 25 employees is to be interviewe
As of last year, only 20% of the employees in an organization used public transportation to commute to and from work. To determine if a recent campaign encouraging the use of public transportation has been effective, a random sample of 25 employees is to be interviewe
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