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What else can I help you with?
What is skewed square?
A skewed square, often referred to in the context of geometry or data visualization, typically describes a square that has been distorted or transformed such that its angles and side lengths are not uniform. This can create a shape that resembles a square but does not maintain the properties of a true square, such as equal sides and right angles. In data visualization, a skewed square might represent a non-linear relationship or distribution of data points.
Is there a chart for skewed data?
There isn't a specific chart for skewed data, but you could use a number of different charts to show that data is skewed. An Area chart could be used for example, or a column chart could also work. It would depend in the nature of the data.
Which best describes the shape of this distribution?
To accurately describe the shape of the distribution, I would need more information about its characteristics, such as whether it is symmetric, skewed, or has any peaks or outliers. Common shapes include normal (bell-shaped), uniform, bimodal, or skewed left/right. If you have data or a visual representation, please share that for a more specific description.
When the majority of the data values fall to the right of the mean the distribution is said to be left skewed?
When the majority of the data values fall to the right of the mean, the distribution is indeed said to be left skewed, or negatively skewed. In this type of distribution, the tail on the left side is longer or fatter, indicating that there are a few lower values pulling the mean down. This results in the mean being less than the median, as the median is less affected by extreme values. Overall, left skewed distributions show that most data points are higher than the average.
What is unimodal skewed?
Unimodal skewed refers to a distribution that has one prominent peak (or mode) and is asymmetrical, meaning it is not evenly balanced around the peak. In a right (or positively) skewed distribution, the tail on the right side is longer or fatter, indicating that most data points are concentrated on the left. Conversely, in a left (or negatively) skewed distribution, the tail on the left side is longer, with most data points clustered on the right. This skewness affects the mean, median, and mode of the data, typically pulling the mean in the direction of the tail.
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.
When the data are skewed to the right the measure of Skewness will be?
When the data are skewed to the right the measure of skewness will be positive.
When is the mean not a valid statistic to describe a set of data?
The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
Is there a chart for skewed data?
There isn't a specific chart for skewed data, but you could use a number of different charts to show that data is skewed. An Area chart could be used for example, or a column chart could also work. It would depend in the nature of the data.
Which statement best describes how the scientific community analyzes data?
scientists can come to different conclusions based off the same data
When is data negatively or positively skewed?
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
What is A set of data values called where there are more data values above the Mean?
skewed
What is a positively skewed distribution?
A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.
What measure of central tendency may not exist for all numeric data sets?
Measurement Scale Best measure of the 'middle' Numerical mode Ordinal Median Interval Symmetrical data- mean skewed data median Ratio Symmetrical data- Mean skewed data median
What is the most appropriate measure of location for a data set which is highly skewed to either the left or the right?
If it is very highly skewed then the mode is best.
When is the mean less than the median?
When the data distribution is negatively skewed.
What does the measure of central tendency describe in a data set?
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
