a)Â Â Â Â Â Estimate the 7th decile and the 32nd percentile for the frequency table below
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Height (cm)Â Â Â Â Â Â Â Â 140-144Â Â Â Â Â Â Â Â 144-148Â Â Â Â Â 148-152Â Â Â Â Â Â 152-156Â Â Â Â Â 156-160Â Â Â Â Â Â Â 160-164
No of students          4                   5                8                 7                  5                  1
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The 32nd percentile is some score k from data such 32% of observations lies below this score. There are totally "4+5+8+7+5+1=30" observations. 32% of the number of observations would be the sought percentile.
"0.32*30=9.6". Since we obtain non-integer value, we should round it to the highest integer, so we get 10. The element of number 10 is the first observation in the group 148-152cm, that totally has 8 observations, which means every observation is approximately "{\\frac {152-148} 8}=0.5 cm" higher than the previous one. The first observation corresponds to 148cm.
148cm is a 32nd percentile of the given data
7th decile means 70nd percentile. So, the algorithm is similar
"0.7*30=21". The 21 observation is the 4th observation in the group 152-156. In that group every observation is approximately "{\\frac {156-152} 7}=0.57" cm higher than previous one. The 4th observation would be approximately "152+3*0.57=153.71 cm"
153.71cm is a 7th decile of the given data
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