1) Gender xxxxxxx Nominal type xxxxxxx data.

2) Total xxxxxxx xxxxxxx males=9

Total xxxxxxx of females=6

Male xxxxxxx as 1

Female xxxxxxx as xxxxxxx xxxxxxx height="36" src="file:///C:/Users/ANKITA/AppData/Local/Temp/msohtmlclip1/01/clip_image002.gif" xxxxxxx />

=

xxxxxxx a nominal xxxxxxx xxxxxxx data, xxxxxxx does not xxxxxxx us anything.

3) xxxxxxx appropriate xxxxxxx xxxxxxx central tendency xxxxxxx GENDER would xxxxxxx ‘Mode’

4) Mode xxxxxxx the most xxxxxxx appearing data xxxxxxx the set. xxxxxxx xxxxxxx central xxxxxxx is the xxxxxxx that is xxxxxxx to xxxxxxx xxxxxxx of Male) xxxxxxx male appears xxxxxxx most number xxxxxxx times.

5) RANKING xxxxxxx Ordinal type xxxxxxx data.

6) The xxxxxxx xxxxxxx of xxxxxxx tendency is xxxxxxx Value for xxxxxxx tendency=median=8.0000

8) xxxxxxx xxxxxxx not appropriate xxxxxxx describe the xxxxxxx ranking because xxxxxxx is Ordinal xxxxxxx of data xxxxxxx it is xxxxxxx xxxxxxx Moreover xxxxxxx does not xxxxxxx how much xxxxxxx one xxxxxxx xxxxxxx from the xxxxxxx participant.

9) SCORE xxxxxxx Ratio type xxxxxxx data.

10) For xxxxxxx 73.1333

Median= 75.0000

Mode= xxxxxxx (Since multiple xxxxxxx xxxxxxx we xxxxxxx showing the xxxxxxx value)

11) Mean xxxxxxx us xxxxxxx xxxxxxx score of xxxxxxx participants. Median xxxxxxx us the xxxxxxx of the xxxxxxx in middle xxxxxxx sorted according xxxxxxx xxxxxxx scores. xxxxxxx tells us xxxxxxx score with xxxxxxx most xxxxxxx xxxxxxx participants. Mean xxxxxxx the better xxxxxxx over here xxxxxxx by median xxxxxxx is almost xxxxxxx to the xxxxxxx xxxxxxx mode xxxxxxx the worst xxxxxxx in scores xxxxxxx type xxxxxxx xxxxxxx The difference xxxxxxx the values xxxxxxx mean, median xxxxxxx mode tells xxxxxxx data is xxxxxxx normally distributed xxxxxxx xxxxxxx skewed.

12) xxxxxxx is a xxxxxxx data set xxxxxxx it xxxxxxx xxxxxxx to the xxxxxxx since Mode<Mean xxxxxxx Mode< Median.

13) xxxxxxx of the xxxxxxx set is xxxxxxx It is xxxxxxx xxxxxxx Maximum xxxxxxx Score.

14) Kurtosis xxxxxxx tells that xxxxxxx distribution xxxxxxx xxxxxxx is flatter xxxxxxx a normal xxxxxxx The data xxxxxxx not normally xxxxxxx because in xxxxxxx of normal xxxxxxx xxxxxxx Standard xxxxxxx tells the xxxxxxx by which xxxxxxx obtained xxxxxxx xxxxxxx differ from xxxxxxx actual value. xxxxxxx obtained mean xxxxxxx deviate from xxxxxxx actual value xxxxxxx where xxxxxxx height="23" src="file:///C:/Users/ANKITA/AppData/Local/Temp/msohtmlclip1/01/clip_image010.gif" xxxxxxx />= standard xxxxxxx n=number xxxxxxx xxxxxxx Standard error xxxxxxx mean for xxxxxxx is. xxxxxxx may deviate xxxxxxx =

18) xxxxxxx represents xxxxxxx xxxxxxx of data.

19) xxxxxxx Weight,

Mean= 144.7333

Median= xxxxxxx 108

20) Mean xxxxxxx showing more xxxxxxx estimation and xxxxxxx of data xxxxxxx xxxxxxx deviates xxxxxxx the mean xxxxxxx a notable xxxxxxx hence xxxxxxx xxxxxxx be considered xxxxxxx better option xxxxxxx measure the xxxxxxx tendency than xxxxxxx Mode is xxxxxxx less than xxxxxxx xxxxxxx thus xxxxxxx be used xxxxxxx measure the xxxxxxx tendency xxxxxxx xxxxxxx data. The xxxxxxx in the xxxxxxx of mean, xxxxxxx and mode xxxxxxx that data xxxxxxx not normally xxxxxxx xxxxxxx are xxxxxxx It is xxxxxxx skewed data xxxxxxx and xxxxxxx xxxxxxx skewed to xxxxxxx right since xxxxxxx and Mode< xxxxxxx Range of xxxxxxx data set xxxxxxx 135.00. It xxxxxxx xxxxxxx by xxxxxxx Weight-Minimum Weight.

23) xxxxxxx figure tells xxxxxxx since xxxxxxx xxxxxxx is negative, xxxxxxx distribution of xxxxxxx is flatter xxxxxxx a normal xxxxxxx The data xxxxxxx not normally xxxxxxx xxxxxxx in xxxxxxx of normal xxxxxxx mean=mode=median.

25) Standard xxxxxxx tells xxxxxxx xxxxxxx by which xxxxxxx obtained value xxxxxxx differ from xxxxxxx actual value. xxxxxxx obtained mean xxxxxxx deviate from xxxxxxx xxxxxxx value xxxxxxx where xxxxxxx height="23" xxxxxxx xxxxxxx />= standard xxxxxxx n=number of xxxxxxx Standard error xxxxxxx mean for xxxxxxx is. xxxxxxx xxxxxxx deviate xxxxxxx =