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Q: How do you Create a box plot of data that does not have any outliers?

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Almost any kind of graph can be used to show discrete data: You can use a line graph (most economic data), a bar graph (demographics), a pictogram, a pie chart, a scatter plot, radar. Although 3-d charts can also be used, they are very poor at conveying information because of the difficulty in interpreting depth.

the data value that is much higher or lower than the other data given is called an outlier

Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.

None. The data set has no elements and so there cannot be any central tendency.

No. Data can mean any information, text, graphics or numeric that has t be stored, used , reported on , investigated or used for reasearch

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The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.

THe maximum observed (excluding any outliers).

The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.

the number in your piece of data = n lower quartile, n+1 divided by 4 upper quartile, n+1 divded by 4 and times by three interquartile range(IQR) = upper quartile - lower quartile outliers(O) = interquartile range x 1.5 lower than IQR-O is an outlier (h) above IQR+O is an outlier (h) the outliers on your box plot are any numbers that are the value i have named (h) ^

The easiest way is to plot the values on a number line, then look at any outliers and consider whether they may be anomalies.

The midhinge.this because it eliminates 25 percent of the largest data values and the smallest data values.this means any outliers present in the set of data values will be unable to throw the data

You can describe if there's any obvious correlation (like a positive or negative correlation), apparent outliers, and the corrlation coefficient, which is the "r" on your calculator when you do a regression model. The closer "r" is to either -1 or 1, the stronger that correlation is.

A number that is different from any other numbers in the data.!

At least 2 and up to 5.

Ages of people are sorted meaningfully by a stem and leaf plot. Any type of data set in which the first or last digit differs and can be sorted. By using this type of plot, one can readily see the magnitude of each group of data sorted.

form_title=Create a Dynamic Data Website form_header=Create a data-driven website with help from the experts! Who will you be targeting with the website?=_ When does the website need to be completed?=_ Do you have any other websites created with dynamic data?= () Yes () No () Not Sure

Mostly through statistics, or summaries of the data set (depending on the type of data). There are many different statistical methods used to analyze the many different types of data that come from research studies or experiments. However if you just want a relatively quick and simplistic overview of a set of data than you should follow SOCS: Shape, Outliers, Center, Spread. Shape (the shape of the graphed data points) Outliers (any data points that fall outside the realm of "normal") Center (where the data points are mostly centered around) and Spread (the range of the data points). This should give you some immediate conclusions from your data.

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