A= AP= C0= C1= C2= C3= C4= C5= C6= C7= C8= C9= ES=Answers may vary. F0= F1=V10 F2= H=$.hint$ INST= M1= M2= M3= M4= M5= M6= M7= M8= M9= MS=1 MW1= MW2= MW3= MW4= MW5= MW6= MW7= MW8= MW9= N= Q=Assume a normally distributed set\nof test scores with a mean of V0 = V3 and a standard
\ndeviation of V4. Find the probability that a person selected at random will have a score
V5.
$.tablea1$\n SA=Answers may vary. T=F TF=-1 TL= TOL=+1E-4 U=NOUNIT V0=S"$mu$" V1=S"$sigma$" V10=L[V6:1,0.025] V11=I(2*V4) V12=I(V3-V11) V2=S"z" V3=I[100,500,10] V4=I[5,20,5] V5=L[V6:between V8 and V9, less than V12] V6=I[1,2] V7=I(3*V4) V8=I(V3-V7) V9=I(V3+V7) W=V6==1::\nThe number of people between u - 3s and u + 3s is 100%, so the probability is 100% or 1.\n\nV6==2::\nV2 =\nV12 - V3:\nV4\n= -2.\nV6==2::So V12 is 2 standard deviations\n"below" the mean. Since the probability that such a score is below the mean is 0.5, the probability that the score is below V12 is 0.5 − 0.475 = 0.025. \n YN=-1 cnum=4 followup= ilev=0 mcdm=1 mdm=0 mpc=unspecified mpn=2 mpv=2.0 mwnum=2 ncd=-1 subject=unspecified varnum=17 commentV3= //mu