Is an interquartile range different to a normal range?

Yes. The range is the difference between the highest value and the lowest value. However, the interquartile range is the difference between the upper quartile (75th percentile) and the lower quartile (25th percentile).

Range is the difference between the largest and smallest values in a data set (e.g. consider the numbers 1, 2, 3, 4, 5 - range = 5 - 1 = 4)

Interquartile range is the difference between the largest and smallest quartiles of a data set, i.e. IQR = Q3 - Q1

Yes, they are different; the normal range involves subtracting the smallest value in a data set from the largest value, whereas the interquartile range (IQR) involves taking the 25th percentile value on a box plot and subtracting it on the 75th percentile value.

The Range looks at the spread of a data set, the biggest value subtract the smaller value whilst the interquartile range looks at the spread for the middle half of the data set. The upper quartile (Q3) subtract the lower quartile(Q1). Q3 is the 75th percentile for the data, and Q1 is the 25th percentile for the data

The interquartile range (IQR) measures the spread of the middle half of your data

Hi, both can be used to find out the spread of values in a dataset. A normal range refers to a spread of numbers where the smallest number can be subtracted from the biggest number to find the middle half of the range. In comparison, an interquartile range refers to calculating the middle half of the range using the 25% and 75% percentiles in the dataset. The main difference in these methods is the fact that the interquartile range is not affected by outliers whereas the normal range is.

Yes. The range is the difference between the biggest and smallest number in the list. The interquartile range uses quarters (hence the word quartiles). Find the numbers that are at the 1/4 and the 3/4 position of the list. Then find the difference between these. The interquartile range is useful especially when the data has outliers.

The interquartile range is the difference between the lowest and highest value in the middle 50% of the values (lower quartile and upper quartile) in a dataset. The range is the difference between the lowest and highest value in the whole data set.

Yes it is different to normal range, as a normal range is the difference between the largest and the biggest number from a set of values. Whereas, the interquartile range is the difference between the upper quartile and the lower quartile that is found out in the data.

The lower quartile is the value that represents one quater of the data

The upper quartile is the value that represents three quarters of the data.

Yes, the normal range is the difference from the highest to the lowest value.

The interquartile range is the difference from the upper quartile (75%) to the lower quartile (25%)

Yes. The normal range is the difference between the smallest number in a set of data and the highest. The interquartile range is the difference between the numbers at the upper and lower quartiles ie. the number which is at the 25% mark (lower quartile) if you were to order the numbers in increasing order and the one which is at the 75% mark (upper quartile).

Yes, they are different, although our method remains the same!

The range of numbers is finding the difference between the greatest and smallest number. Interquartile range (IQR) is the difference between the lower quartile (1/4 of the data) and the upper quartile (3/4 of the data).

Finding the IQR shows us the difference of majority of the data, rather than the extremes!

Remember - median = 50%, LQ = 25% and UQ = 75% of the data.

The interquartile range is the range between the 75 and 25th percentile. Its a measure of how closely related most of the data is/

The interquartile range is the difference in value between the upper quartile and lower quartile. The upper quartile is the median of the upper half of a data set. the lower quartile is the median of the lower half of the data.

Yes, the normal range of data is the greatest value in the data set minus the smallest value in a data set whereas the interquartile range is the upper quartile minus the lower quartile. Remember that normal range uses all anomalous/extreme values of data!