Want this question answered?
Hourly temperature
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
interval data
iDK! do your homework! or even better! pay attention in class! i learned that the hard way.
They are statistical measures that are used, when appropriate, to summarise the central tendency of a set of data. That is, given a number of observations, these measures can give an indication of the value near which they all are.
Interval-Ratio can use all three measures, but the most appropriate should be mean unless there is high skew, then median should be used.
Hourly temperature
The time and the temperature
The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.
The answer will depend on the data values: there is no rule that fits all situations.
Variability and Central Tendency (Stats Student)
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
There are a number of appropriate displays to show the measures of variation for a data set. Different graphs can be used for this purpose which may include histograms, stemplots, dotplots and boxplots among others.
interval
the whole question is that The data is not perfectly linear. Identify at least 2 sources of variability in this data AND explain the effect of each? Sources of variability = outlier???? so do I just need to indicate where the outliers are???
Generally, the standard deviation (represented by sigma, an O with a line at the top) would be used to measure variability. The standard deviation represents the average distance of data from the mean. Another measure is variance, which is the standard deviation squared. Lastly, you might use the interquartile range, which is often the range of the middle 50% of the data.
Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.