0
Add your answer:
Earn +20 pts
What percent falls below the mean for normal distribution?
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
Is correlation resistant or nonresistant to outliers?
correlation is drawn from all data points. if you look at the r^2 value and it's below 0.99 for example (should be higher in non research work (and in much research work) it indicates that 1 of your points may be an outlier. If you input all datapoints into excel, you may be able to see the point that's throwing it off. There are also statistical tests you can do to spot an outlier. In other words, correlation is not independent of an outlier. it will make the r^2 value worse. If the outlier is taken out, then the correlation could be deemed independent but only because you manipulated it and had taken the outlier out
Why is a cumulative frequency distribution so much more informative than just the relative frequency distribution?
It is not. It depends on what question you want to answer. They are both equally informative, but in different circumstances.the CRFD can be used to determine a summary of proportion of observations that lies above(or below) a particular value in a data set which the RFD cannot
How can you approximate a binomial distribution to a poison distribution when the number of binomial trials became large enough?
The Poisson distribution with parameter np will be a good approximation for the binomial distribution with parameters n and p when n is large and p is small. For more details See related link below
Poisson distribution the mean and standard deviation?
The Poisson distribution is a discrete distribution, with random variable k, related to the number events. The discrete probability function (probability mass function) is given as: f(k; L) where L (lambda) is the mean and square root of lambda is the standard deviation, as given in the link below: http://en.wikipedia.org/wiki/Poisson_distribution
What is the number called that is way above or way below the other numbers on a data sheet?
The outlier
How A five-number summary (min Q1 median Q3 max) for a set of data is (15203550115). Which is the largest number listed below that is not an outlier?
It is no ossible to answer the question because all the digits have been run together to form a single large number.
What percent falls below the mean for normal distribution?
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
What is a cumulative frequency distribution?
According to Anderson, Sweeney Williams book Essential of Statistics For Business and Economics, 4e Edition, 2006 p. 34 cumulative frequency distribution is "a variation of the frequency distribution that provides another tabular summary of quantitative data." In simple terms, the cumulative frequency distribution is the sum of the frequencies of all points or outcomes below and including the current point.
What Percent of data is below the mean in a normal distribution?
In the normal distribution, the mean and median coincide, and 50% of the data are below the mean.
Can you see a summary on Pulp Fiction?
Link to the summary will be included in the related link below.
The image below shows the distribution of members of a population. What type of distribution is shown?
Clumped
What is a summary of the tale of Troy?
Click link below!
You are writing a summary to an essay and need to see what a written summary actually looks like?
look below for a few examples of a summary a summary is also similar to the journal abstracts
Is correlation resistant or nonresistant to outliers?
correlation is drawn from all data points. if you look at the r^2 value and it's below 0.99 for example (should be higher in non research work (and in much research work) it indicates that 1 of your points may be an outlier. If you input all datapoints into excel, you may be able to see the point that's throwing it off. There are also statistical tests you can do to spot an outlier. In other words, correlation is not independent of an outlier. it will make the r^2 value worse. If the outlier is taken out, then the correlation could be deemed independent but only because you manipulated it and had taken the outlier out
Why is a cumulative frequency distribution so much more informative than just the relative frequency distribution?
It is not. It depends on what question you want to answer. They are both equally informative, but in different circumstances.the CRFD can be used to determine a summary of proportion of observations that lies above(or below) a particular value in a data set which the RFD cannot
Where is a kid friendly summary of Saint Nicholas?
For a summary of the life of St. Nicholas of Myra, click on the link below.
