no
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
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
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
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
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
It is no ossible to answer the question because all the digits have been run together to form a single large number.
The outlier
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
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.
In the normal distribution, the mean and median coincide, and 50% of the data are below the mean.
Link to the summary will be included in the related link below.
Clumped
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
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
For a summary of the life of St. Ignatius of Loyola click on the link below.
Saint Nicholas was a Christian bishop who lived in the 4th century in the area that is now Turkey. He was known for his generosity and kindness towards those in need, and became the inspiration for our modern-day Santa Claus. He is celebrated for his acts of giving and care for children and the poor.
"Blue Skin of the Sea" by Graham Salisbury follows a young boy named Sonny, growing up in Hawaii, who learns about life, love, and loss while bonding with his family and the ocean. The novel explores themes of identity, culture, and the importance of preserving traditions in the face of changing times, set against the backdrop of a vibrant Hawaiian setting. Through Sonny's coming-of-age journey, readers are immersed in the beauty and challenges of living on the islands.