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Does outliers affects data?
No. Outliers are part of the data and do not affect them. They will, however, affect statistics based on the data and inferences based on the data.
When to use quartile deviation?
When you are looking for a simple measure of the spread of the data, but one which is protected from the effects of extreme values (outliers).
Do they have outliers in a data set?
If the data numbers are all really close together than no. But if the data has numbers; for example: 12,43,45,51,57,62,90 (12 and 90 are the outliers) which are really far aprt, than yes.
What data that does not fit well with the rest of a data set.?
They are called extreme values or outliers.
Why measures of dispersion are important along with measures of central tendency to understand the nature of the data?
Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.
What you deciede to do when drawing conclusions about data?
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.
Can there be 2 outliers in a set of data?
There is no limit to the number of outliers there can be in a set of data.
Does outliers affects data?
No. Outliers are part of the data and do not affect them. They will, however, affect statistics based on the data and inferences based on the data.
When to use quartile deviation?
When you are looking for a simple measure of the spread of the data, but one which is protected from the effects of extreme values (outliers).
Can outliers affect the symmetry of the data?
an outliers can affect the symmetry of the data because u can still move around it
Is the median particularly sensitive to outliers in the data?
It is not.
How would you explain the outliers in chemistry?
In chemistry, outliers are data points that deviate significantly from the rest of the data set. Outliers can result from measurement errors, experimental uncertainties, or unexpected reactions. It is important to identify and address outliers in data analysis to ensure accurate and reliable results.
What is the term that is used to describe data that does not fit with the rest of the data?
Outliers
Do they have outliers in a data set?
If the data numbers are all really close together than no. But if the data has numbers; for example: 12,43,45,51,57,62,90 (12 and 90 are the outliers) which are really far aprt, than yes.
How do you Create a box plot of data that does not have any outliers?
Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.
What data that does not fit well with the rest of a data set.?
They are called extreme values or outliers.
When is each measure of central tendency most useful?
Mode: Data are qualitative or categoric. Median: Quantitative data with outliers - particularly if the distribution is skew. Mean: Quantitative data without outliers, or else approx symmetrical.
