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What else can I help you with?
What does standard deviation tell about distribution and varity?
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
What are some benefits of representing data sets using graphs of frequency distribution?
Organizing the data into a frequency distribution may make patterns within the data more evident.
What is simple frequency distribution?
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.
What is 2k rule?
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.
What are some benefits of representing data sets using frequency distributions?
Organizing the data into a frequency distribution can make patterns within the data more evident.
Can frequency distributions contain more than ten observations?
Yes.
What shows the values that a variable can take and the number of observations associated with each value?
measure of central tendency...Updating previous answer by prior responder...I believe the more accurate answer is a frequency distribution.
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 does standard deviation tell about distribution and varity?
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
What are some benefits of representing data sets using graphs of frequency distribution?
Organizing the data into a frequency distribution may make patterns within the data more evident.
What is simple frequency distribution?
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.
What is 2k rule?
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.
What are some benefits of representing data sets using frequency distributions?
Organizing the data into a frequency distribution can make patterns within the data more evident.
Does the mean always have half of the observations on either side of it?
No, the mean does not always have half of the observations on either side of it. The mean is a measure of central tendency that can be influenced by extreme values, leading to a skewed distribution where more observations may fall on one side of the mean than the other. In a perfectly symmetrical distribution, the mean would be at the center, with an equal number of observations on either side, but this is not the case for skewed distributions.
When a distribution curve has 3 or more peaks it is called?
When a distribution curve has three or more peaks, it is referred to as a "multimodal" distribution. Each peak, or mode, represents a local maximum in the frequency of the data points. This type of distribution can indicate the presence of multiple underlying processes or groups within the dataset.
Where can one find information about frequency distribution?
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.
What is skewed left?
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.
