No. If there is an even amount of numbers and the two middle numbers are different, then it is the number that is halfway between them, which obviously means it is not in the data set.
The mean and median are not always similar; their relationship depends on the distribution of the data. In a symmetrical distribution, such as a normal distribution, the mean and median are typically very close or identical. However, in skewed distributions, the mean can be significantly affected by outliers, causing it to differ from the median, which remains more representative of the central tendency. Thus, while they can be similar in certain cases, this is not universally true.
Yes, two points are always collinear. You can draw a line through any two points.
YES!
The answer depends on the purpose of the plot.
3 points must always be contained in one plane, as 2 make a line, it makes no difference as to where the third point is, it will exist in the same plane in the two. Aside from all three points being in a line, this is always true.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
The median is advantageous because it is not influenced by extreme values, making it a robust measure of central tendency for skewed data sets. It is also easy to interpret and calculate. However, the median may not accurately represent the true center of a dataset if the data is heavily skewed or if there are outliers present. Additionally, the median may not be as efficient as the mean for certain statistical calculations due to its lack of sensitivity to all data points.
true
Yes, two points are always collinear. You can draw a line through any two points.
YES!
The answer depends on the purpose of the plot.
Yes, it shows the data in a different way
Data always contains information, but not necessarily facts. Data can be completely made up.
No, it is not true.
Yes. (True)
Is false
That is not true. It is possible for a data set to have a coefficient of determination to be 0.5 and none of the points to lies on the regression line.