Consider a sample with
a mean of 60 and a standard deviation of 4. Use Chebyshev's theorem
to determine the percentage of the data within each of the
following ranges (to the nearest whole number).
40 to 80, at least %
45 to 75, at least %
52 to 68, at least %
47 to 73, at least %
44 to 76, at least %
as we know that from Chebychev: k std deviation away from mean data values have
percentage of the data =(1-1/k2)*100
1)
for k score =(X-mean)/std deviation ; here k=(80-60)/4=5
hence percentage of the data within this range =(1-1/52)*100=96%
2)
k score=(75-60)/4 =3.75
hence percentage of the data within this range =(1-1/3.752)*100=92.89%
3)
k score=(68-60)/4 =2
hence percentage of the data within this range =(1-1/22)*100=75.0%
4)
k score=(73-60)/4 =3.25
hence percentage of the data within this range =(1-1/3.252)*100=90.53%
5)
k score=(76-60)/4 =4
hence percentage of the data within this range =(1-1/42)*100=93.75%
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