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What does the normal allow you to measure?

The normal distribution allows you to measure the distribution of a set of data points. It helps to determine the average (mean) of the data and how spread out the data is (standard deviation). By using the normal distribution, you can make predictions about the likelihood of certain values occurring within the data set.


What does the mode tell you about the distribution of a set of data?

It tells you that that number has the most part of everything.


What measure of dispersion is used with bimodal distribution?

Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ


What does mean deviation tells us about the data?

It is a measure of how variable the data is. The average distance from the average.


Which measure of central tendency best describes the data set without an outlier?

The mean may be a good measure but not if the data distribution is very skewed.


Why is the mode not used very much as a measure of central tendency?

The mode is the value with the most data. Unfortunately it tells you nothing about the rest of the distribution. The mean and median provide more useful information in most situations.


Is the mass of an orange a qualitative data?

no, it's quantitative data. Quantitative data is something you can measure - weight, length, height, time etc. Qualitative data is something you can't measure e.g. how happy people are, what people feel about something


Is length in feet quantitative or qualitative data?

Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.


Why standard deviation is best measure of dispersion?

standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.


What is the definition of spread math?

Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.


What is the best measure of variability?

The best measure of variability depends on the specific characteristics of the data. Common measures include the range, standard deviation, and variance. The choice of measure should be made based on the distribution of the data and the research question being addressed.


When is finding the average not useful?

There is no meaningful average wen data are categorical (qualitative). Also, the arithmetic mean is not a good measure of central tendency when the data distribution is skewed.

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