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Median is a good example of a resistant statistic. It "resists" the pull of outliers. The mean, on the other hand, can change drastically in the presence of an outlier.The interquartile range is a resistant measure of spread.
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
mode and mean
A descriptive statistic is a numerical summary of a dataset (e.g. a sample). There are four types of descriptive statistics that are commonly used: * Measures of central tendency: the central or most common value. # mean - There are several different types of mean, but by far the most commonly used is the arithmetic mean, which is simply the sum of the measurements divided by the number of measurements. This is typically what people refer to as the average. # median - value for which exactly half the measurements lie above and half below # mode - most frequently occurring measurement in a category* Measures of variability: the normal spread of values around the central value. # standard deviation - the mean of the squared deviations from the mean. 1 standard deviation is the range around the mean in which roughly 62% of the values of data will fall. # quartiles, deciles, centiles - divide the values in the data set into equal quarters (or tenths, or hundredths) by number of data points, to show how the values of the data points cluster around the center. # correlation - (for two variables) how closely the distribution of values in the two variables are related.* Measures of shape: what the data looks like. # skew - whether the data is balanced around the mean, or whether weighted towards one side or the other # kurtosis - the 'peaked-ness' or 'flatness' of a distribution.* Measures of size: # sample size - how many points have been analyzed
The box and whisker plot informs you of the 5 number summary, which comprises of the minimum and maximum, the median, and the first and third quartiles. The minumum and maximum give you the range, which is not given by measures of central tendancy. also, if it a modified box and whisker plot, outliers will be marked separatley from the rest of the plot, outliers are also not included in the measures of center.
Which descriptive summary measures are considered to be resistant statistics
Median is a good example of a resistant statistic. It "resists" the pull of outliers. The mean, on the other hand, can change drastically in the presence of an outlier.The interquartile range is a resistant measure of spread.
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
The prologue was very exciting. A prologue should be a short, descriptive summary.
mode and mean
This section wants you to tell them what you intend to do with the money. Give a brief summary of the project including who will benefit from it.
The adjective forms of to describe are descriptive, or rarely described, with different meanings.Examples :"The summary called for a descriptive sentence." (sentence that describes)"The described artifact is not in our collection."(This is actually equivalent to saying "the artifact that was described", which is the past tense, passive form of describe.)
A good seven sentence summary of "stargirl" would precis the plot of the book in seven sentences and would use clear descriptive language and present in an easy to read, orderly flow of the plot and main characters.
They are measures of central tendency and are used to to give a summary measure for some set of observations.
A summary that explains data typically provides a brief overview of the key insights, trends, or patterns found within the dataset. It may include descriptive statistics, visual representations, and important findings to help readers understand the main points without having to delve into the raw data in detail.
They are also sometimes referred as "Minutes Of Meeting". These are actually a descriptive document which gives details of the discussions and the judgements framed in the meeting hours. They actually provide a summary of the discussions and also the conclusion of the meet.
Descriptive Statistics analyzes the quantitative data in detail in measuring the outcome. It eliminate all that is secondary and highlights the main statistics. It is a single indicator put in summary of the individual data. It provides consistent summary useful for the comparison and is very helpful for the future planning. In indicates the data in units. Each single unit of descriptive is reduced into a simple summary indicating the units of frequency. The data is measured under units of frequency such as the distribution , the central tendency , and the dispersion The distribution chart is analyzed through the bar chart, The central tendency is an analysis into mean, median and mode form Mean is the average of most probably used frequency, the median is the central point of the set values, Mode is the most frequently occurring value in the set of scores. Dispersion indicates the spread of the values regarding the central tendency.