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What else can I help you with?
Why is the interquartile range a more appropriate measure for spread than the range?
the interquartile range is not sensitive to outliers.
Why is it a useful value to report standard deviation?
The standard deviation of a distribution is the average spread from the mean (average). If I told you I had a distribution of data with average 10000 and standard deviation 10, you'd know that most of the data is close to the middle. If I told you I had a distrubtion of data with average 10000 and standard deviation 3000, you'd know that the data in this distribution is much more spread out. dhaussling@gmail.com
What is interquartile range?
An interquartile range is a measurement of dispersion about the mean. The lower the IQR, the more the data is bunched up around the mean. It's calculated by subtracting Q1 from Q3.
What is the purpose of finding the average of your data?
The basic function of an average is so that you have just one value to represent your entire data with. You don't have to say that your data range lies within this boundaries - you just have to quote the average and standard deviation and that more or less, gives significant information about your data.
What is the relationship between the relative size of the starndard deviation and the kurtosis of a distribution?
It is inversely proportional; a larger standard deviation produces a small kurtosis (smaller peak, more spread out data) and a smaller standard deviation produces a larger kurtosis (larger peak, data more centrally located).
What are questions of box and whisker plot?
What are the minimum, lower quartile, median, upper quartile and maximum?What the range and interquartile range are.whether the data ore positvely or negatively skewed.How two (or more) data sets compare in terms of the "average" and spread.
What does the word range mean in mathematical terms?
The RANGE is the difference between the lowest and highest values.In this case 100 - 80 = 20, so the range is 20. The range tells yousomething about how spread out the data are. Data with large rangestend to be more spread out.Range is the difference between the highest and lowest numbers in the set.EXAMPLE:3, 4, 6, 7, 10, 13, 16, 19, 21, 24, 2626 - 3=23range is 23.
Is 2.19mb bigger or smaller than 10mb?
The larger number is bigger in this case. More MB means more storage space, or more data has to be transmitted.
What does standard deviation show us about a set of scores?
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
What is frequency spread?
Frequency spread refers to the distribution or range of frequencies present in a signal or sound. It describes the spacing and coverage of individual frequencies within a given range. A wider frequency spread means there is a greater variety of frequencies present, while a narrow spread indicates a more limited range of frequencies.
Why is the interquartile range a more appropriate measure for spread than the range?
the interquartile range is not sensitive to outliers.
Bus width affect a computers data transfer speed?
The bigger the data bus, the more data can be fetched in one go and processed, making the computer faster
How can you make a CD memory bigger?
You cannot. The capacity of a CD is fixed at the time of manufacture. You can store more data by compressing the data itself.
Why are size 5 soccer balls the best to play soccer with?
This is because it hase a bigger range to kick and have more accuracy. Used for bigger people because there growth is bigger
Data that is more than 1.5 times the interquartile range from the quartiles?
Outliers
When might the inter-quartile range be better for describing a data set than the range?
The interquartile range can be more useful when the first and fourth quartiles contain very little data, in other words there are only a very few high or low data points.
What is going beyond plotted data to make a prediction using a best fit line?
If you are predicting a point that's outside of the data range, it is known as extrapolation. If it is within the data range it is interpolation and is much more reliable.
