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HOW are quartiles helpful in describing data?
They are a simple measure of the spread of the data, which is not affected by extreme values.
What is the term in statistics for the difference between the smallest and largest values in the data set?
RangeThe term for the difference between the smallest and the largest values in a set of data is called the range. It is probably derived from the idea that the values of the numbers in the data could range anywhere from the lowest to the highest values but not beyond. The range is a measure of how disperse (spread out) the values are but it is not a very powerful measure.
A data value that is much higher or lower than any other data values in a set?
the data value that is much higher or lower than the other data given is called an outlier
How do you convert data values into percent of a whole and then convert percent to degrees to construct a circle graph?
Sum all the data values together: this is the whole. To convert each data value into a percentage, divide it by the whole and multiply by 100. To convert the percentage into an angular measure in degrees, multiply the percentage by 3.6
What is a set of numerical data?
In statistics numerical data is quantitative rather than qualitative.
Which measure of central tendency equals the sum of the data values in a set divided by the number of data values?
mean
HOW are quartiles helpful in describing data?
They are a simple measure of the spread of the data, which is not affected by extreme values.
What is the term in statistics for the difference between the smallest and largest values in the data set?
RangeThe term for the difference between the smallest and the largest values in a set of data is called the range. It is probably derived from the idea that the values of the numbers in the data could range anywhere from the lowest to the highest values but not beyond. The range is a measure of how disperse (spread out) the values are but it is not a very powerful measure.
What does the measure of central trendency tell us about the data?
In general when you take a sample of values of a random variable you will find that those values lie around some central value that is characteristic of the total population for the random variable. A measure of central tendancy (such as a sample mean, sample mode or sample median) is a statistic which is intended to estimate the central value of the population using the values in the sample in some way.
What is a measure for a numerical data set summarizes all of its values with a single number?
Center
A value that is typical or representative of the data is referred to as a measure of central location?
No, it is not, values typical of the data are always located at the extremes of all data frequencies.
What characteristic a range has?
A range is a set of data values within a defined interval that spans from the minimum to the maximum value in a dataset. It provides information about the spread or variability of the data.
In mathematics central tendency is the tendency of data values to cluster around some central value. What does a measure of variability tell you about the central tendency of a set of data Explain.?
The measure of variability tells you how close to the central value the data values lie: that is whether the cluster is tightly packed around the central value of spread out over a large range of values.
The measure of location that is the most likely to be influenced by extreme values in the data set is the range?
mean
What is the s d?
Standard deviation (SD) is a measure of the amount of variation or dispersion in a set of values. It quantifies how spread out the values in a data set are from the mean. A larger standard deviation indicates greater variability, while a smaller standard deviation indicates more consistency.
How do you measure data in a pie chart?
To measure data in a pie chart first you need to work out how big the whole thing is. Then when you get a amount of votes subtract it and you will find you answer quite easily
Why can the mean be equal to the median in a data set consisting of 1000 values that are all different?
Because they are both measures of the same characteristic - the central tendency.
