1.The test statistic used will be "z " since it is large sample test so
Lower bound=Xm -Z1×S.E(Xm) where Xm is sample mean and S.E is standard deviation of sample mean, Z1 is critical value of z at 1% level of significance (obtained from z table) S.E(Xm)=/n =16.1/372 =0.8347
Putting the values:
=(48.4-2.576×0.8347) =48.4-2.1502= 46.2498=46.250
Upper bound = Xm+Z1×S.E(Xm)
=48.4+2.1502
=50.5502 =50.550
Ans: 46.250<mu<50.550
2. S.E (Xm)=/n =9.3/51 =1.3023
Z1=2.326 (from z table) At 98% level of significance.
Lower bound=Xm-Z1×S.E(Xm)= 26.3-2.326×1.3023 =23.2709= 23.270
Upper bound =Xm +z1×s.e(Xm) =26.3+2.326×1.3023
=29.3291 =29.329
Ans: 23.170<mu<29.329
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