The distribution of IQ scores is a nonstandard distribution with a mean of 100 and a standard deviation of 15, and a bell-shaped graph is drawn to represent this distribution.
1) area under the curve =1 (since under any probability distribution is always 1)
2) value of the median =mean=100
3) value of the mode =100
4)
probability =P(X>120)=P(Z>(120-100)/15)=P(Z>1.33)=1-P(Z<1.33)=1-0.9082=0.0918 |
5)
for 72.57th percentile critical value of z=0.60 |
therefore corresponding value x=mean+z*std deviation=109 |
6)
since P(X>m) =0.7257
P(X<m) =1-0.7257 =0.2743
for 27.43th percentile critical value of z=-0.6 |
therefore corresponding value=mean+z*std deviation=91 |
7)
std error=σx̅=σ/√n=15/√36 = | 2.5000 |
probability that 36 random people has a mean of at least 110 :
probability =P(X>110)=P(Z>(110-100)/2.5)=P(Z>4)=1-P(Z<4)=1-1=0.0000 |
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