0
What else can I help you with?
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
What percent of data falls between 1 Standard deviation below and 2 stand deviations above the mean?
The answer will depend on what the distribution is. Non-statisticians often assum that the variable that they are interested in follows the Standard Normal distribution. This assumption must be justified. If that is the case then the answer is 81.9%
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 is the number called that is way above or way below the other numbers on a data sheet?
The outlier
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.
Can you see a summary on Pulp Fiction?
Link to the summary will be included in the related link below.
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.
The image below shows the distribution of members of a population. What type of distribution is shown?
Clumped
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
What is a summary of the life of St. Ignatius?
For a summary of the life of St. Ignatius of Loyola click on the link below.
Can you find me a plot summary for Sherlock Holmes a drama in four acts?
Links below for the entire script and a plot summary.
What quartile are outliers always found in?
Outliers are typically found in the first and fourth quartiles, outside the interquartile range (IQR). Specifically, any data point that falls below Q1 - 1.5 × IQR or above Q3 + 1.5 × IQR is considered an outlier. Therefore, outliers can exist in both the lower and upper extremes of the data distribution.
