It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Organizing the data into a frequency distribution may make patterns within the data more evident.
Simple frequency distribution is a method of organizing large data sets into more easily interpreted sets. An example is organizing sample test scores by the individual scores.
The 2k or 2 to K rule is used to determine the number of classes for a frequency distribution. The 2k rule should be used as a guide more than a dictator of determining the number of classes for a frequency distribution.
Organizing the data into a frequency distribution can make patterns within the data more evident.
Yes.
measure of central tendency...Updating previous answer by prior responder...I believe the more accurate answer is a 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
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Organizing the data into a frequency distribution may make patterns within the data more evident.
Simple frequency distribution is a method of organizing large data sets into more easily interpreted sets. An example is organizing sample test scores by the individual scores.
The 2k or 2 to K rule is used to determine the number of classes for a frequency distribution. The 2k rule should be used as a guide more than a dictator of determining the number of classes for a frequency distribution.
Organizing the data into a frequency distribution can make patterns within the data more evident.
A distribution or set of observations is said to be skewed right or positively skewed if it has a longer "tail" of numbers on the right. The mass of the distribution is more towards the left of the figure rather than the middle.
A distribution or set of observations is said to be skewed left or negatively skewed if it has a longer "tail" of numbers on the left. The mass of the distribution is more towards the right of the figure rather than the middle.
Information on frequency distribution can be found on many sites related to psychology and biotechnology. The About's Psychology page offers a good overview on the topic while the National Center for Biotechnology Information has a more in depth reading.
There is no agreed definition of an outlier and consequently, there is no simple answer to the question. The number of outliers will depend on the criterion used to identify them. If you have observations from a normal distribution, you should expect around 1 in 22 observations to be more than 2 standard deviations from the mean, and about 1 in 370 more than 3 sd away. You will have more outliers if the distribution is non-normal - particularly if it is skewed.