Range and interquartile range (IQR) both measure the "spread" in a data set. Looking at spread lets us see how much data varies. Range is a quick way to get an idea of spread. It takes longer to find the IQR, but it sometimes gives us more useful information about spread.
First XXXX XXX (Number of times XXXXXXX by XXX police)!
X.The arithemtic mean (XXXXXXX) XX XXX XXX XX XXX values in the XXX divided by the XXXXXX of elements in XXXX set.
XX XXX XXXXX XXXX XXX, the XXX XX all XXX XXXXXX is 81. The XXXXXX XX XXXXX in XXX XXXX set is XX.
XX the mean is XXXXX XX:
XXXX = 81/XX
= X.XX
2.XXX median XX XXX value XXXXXXXXXX XXX XXXXXX XXXX XX XXX data set, from the lower half.
XX XXX number of XXXXX XX odd, then the XXXXXX XXX middle element XX the sorted set.
If the XXXXXX of terms XX XXXX, then XXX median XX XXX arithmetic mean of XXX XXX XXXXXX elements XX XXX XXXXXX XXX.
XX XXXXXXXXX XXX XXXXX XXXX set in XXXXXXXXX order, we get:
0, 0, 0, 1, 1, X, 2, X, X, 4, X, 5, X, 6, X, X, 7, 7, X, 10
Since XXX XXXXXX XX XXXXX is XXXX (XX), the median XX XXX XXXXXXX XX XXX XXX middle XXXXXXXX, 4 XXX X given XX:
XXXXXX = 4+4/X = X/2
= 4
XX our XXXXX data set, median would XX XXX XXXX appropriate XXXXXXX XX "XXXXXXX tendency". XXXXXX XXXXXXXXXXXXX the number of times XXXXXXX XX XXX XXXXXX, because XXXXXXXXX a little bit higher than most of XXX XXX XXXXXX in XXX XXXX XXX.
3. XXXXXXXX Deviation XX used as a XXXXXXX of dispersion when mean XX used as XXXXXXX XX XXXXXXX tendency (ie, XXX symmetric numerical XXXX). For ordinal XXXX or XXXXXX XXXXXXXXX XXXX, median XXX interquartile range XXX used.
XXXXX, interquartile range is XXX XXXXXXXXXX XX XXX XXXXX XXX third quartiles.The XXXXX quartile is computed XX XXXXXX XXX XXXXXX XX XXX XXXXX half XX a XXXXXX XXX.The third XXXXXXXX is computed XX XXXXXX XXX XXXXXX XX XXX XXXXXX XXXX of a sorted set.
XX XXXX:
First quartile = X.5 XXX Third quartile = X
So,Interquartile range = 7 - X.X = 5.5
XXXXXX XXXX Set (XXXXXXXXX)!
The XXXXX variable in the second XXXX XXX XX religion. XXXX XXXXXXXX XX a XXXXXXX XXXXXXXX. The XXXXXXXXXXX measure of central tendency is mode XXX there is no measure of XXXXXX XXX XXXXXXX XXXXXXXX. XXXXXXXXX XXXXXXXXXXXX XXX XXXXXXXX can be XXXXX XX recording XXX number XX XXXXX each XXXXXXXX XXXXXX in XXX given data.
Mode is the data XXXX XXXXXXX frequency. XXXX 'XX' XX XXX highest XXXXXXXXX corresponds XX XXX XXXXXXXX other. XXXXX XX XX measure of spread XX XXXXXXXXXX for XXXX XXXX. The mode suggests that XXX XXXXXXXX of the respondents belongs to XXXXX religion.
XXXXXXX Tendency ---> XXXX = XX
Third Data XXX (XXXXXX XX XXXXXX XXXXXXXX in the XXXX week)!
In XXX XXXX XXXX set, most XXXXXXXXXXX XXXXXXX XX XXXXXXX XXXXXXXXX XXXXX be "XXXX" and measure of dispersion would XX "XXXXXXXX deviation".
That's it!