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in a data set. The goal of each is to get an idea of a <strong>"typical"</strong> value in the data set. The mean is commonly used, but sometimes the median is preferred.</p> <p><strong>Range</strong> and <strong>interquartile range (IQR)</strong> both measure the<strong> "spread"</strong> 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.<br></p> <p><br></p> <p><strong>First XXXX XXX (Number of times stopped by XXX XXXXXX)!</strong><XX></p> <p><XXXXXX>1.</XXXXXX>XXX arithemtic XXXX (XXXXXXX) XX XXX XXX XX XXX XXXXXX in the XXX divided XX the XXXXXX XX XXXXXXXX in that set.</p> <p>In XXX first data set, the XXX of all XXX values is XX. XXX XXXXXX XX terms in the XXXX XXX is XX.</p> <p>XX the mean XX XXXXX XX:</p> <p>XXXX = 81/XX</p> <p>= X.05</p> <p><br></p> <p><strong>X.</XXXXXX>The median XX XXX XXXXX separating the XXXXXX XXXX of XXX data XXX, XXXX XXX lower half.</p> <p>XX the number XX terms XX odd, XXXX XXX XXXXXX XXX XXXXXX element of XXX sorted set.</p> <p>If the number XX XXXXX XX even, then the median is XXX XXXXXXXXXX XXXX XX XXX two middle XXXXXXXX XX the sorted set.</p> <p>By XXXXXXXXX the given XXXX XXX in ascending order, XX get:</p> <p>0, X, X, 1, 1, 2, X, X, X, X, 4, 5, X, 6, 7, X, X, X, X, 10</p> <p>Since the XXXXXX of XXXXX XX even (20), the median XX XXX average of XXX XXX middle elements, 4 and 4 XXXXX XX:</p> <p>XXXXXX = 4+X/2 = X/X</p> <p>= 4</p> <p><XX></p> <p>XX XXX first XXXX XXX, <XXXXXX>XXXXXX </XXXXXX>would XX XXX most appropriate XXXXXXX of <strong>"XXXXXXX XXXXXXXX"</strong>. Median bestdescribes XXX number of times XXXXXXX by XXX XXXXXX, because XXX<em>mean</em>is a XXXXXX XXX higher XXXX XXXX of all XXX XXXXXX in XXX XXXX XXX.</p> <p><br></p> <p><XXXXXX>X. </XXXXXX>XXXXXXXX XXXXXXXXX is XXXX as a measure XX dispersion XXXX mean is XXXX XX XXXXXXX XX central tendency (XX, XXX symmetric XXXXXXXXX data). For XXXXXXX XXXX or skewed XXXXXXXXX data, XXXXXX and XXXXXXXXXXXXX XXXXX are used.</p> <p><XX></p> <p><strong>XXXXX, XXXXXXXXXXXXX XXXXX XX the difference of the first and third quartiles.The first XXXXXXXX is computed XX taking XXX median XX the XXXXX half of a sorted set.XXX XXXXX XXXXXXXX XX XXXXXXXX by XXXXXX the XXXXXX XX the XXXXXX half of a sorted set.</strong><br></p> <p>XX XXXX:</p> <p>First quartile = X.X and Third quartile = X<XX></p> <p><strong>XX,Interquartile XXXXX = X - X.X = X.5</XXXXXX></p> <p><br></p> <p><br></p> <p><XXXXXX>XXXXXX XXXX XXX (XXXXXXXXX)!</strong></p> <p>The first XXXXXXXX in the XXXXXX data XXX is XXXXXXXX. XXXX variable is a XXXXXXX variable. XXX XXXXXXXXXXX XXXXXXX of central tendency is mode XXX there is XX XXXXXXX of spread for XXXXXXX XXXXXXXX. XXXXXXXXX distribution XXX religion XXX be XXXXX XX recording XXX XXXXXX of XXXXX XXXX religion occurs in XXX XXXXX data.</p> <p>XXXX is the data with highest frequency. Here 'XX' is the XXXXXXX frequency corresponds XX the XXXXXXXX other. XXXXX is XX XXXXXXX of spread XX XXXXXXXXXX for this data. The XXXX suggests that XXX XXXXXXXX of the respondents XXXXXXX XX other religion.</p> <p><XXXXXX>Central Tendency ---> XXXX = 51</strong></p> <p></p> <p><strong><br></XXXXXX></p> <p><strong>Third Data XXX (XXXXXX XX drinks consumed in the XXXX XXXX)!</XXXXXX></p> <p></p> <p>XX the lest data set, most XXXXXXXXXXX XXXXXXX of central tenedency would be "XXXX" XXX XXXXXXX of dispersion would XX "standard XXXXXXXXX".</p> <p><XX></p> <XXXXXX><XXX XXX="https://schoolsolver.s3.amazonaws.com/media/XXXXXXXXXXX/XXXXXXX.XXX" XXXX-XX="https://schoolsolver.XX.amazonaws.com/XXXXX/attachments/XXXXXXX.XXX"></figure> <p><br></p> <XXXXXX><img XXX="https://schoolsolver.s3.amazonaws.XXX/media/XXXXXXXXXXX/XXXXXXXX.XXX" XXXX-XX="https://XXXXXXXXXXXX.s3.XXXXXXXXX.com/XXXXX/attachments/871Last1.XXX"></XXXXXX> <p><XXXXXX><br></strong></p> <p><XXXXXX>That's it!</XXXXXX></p>">
