How do I use interpolation with the Z table? My textbook has an example of interpolation, but I am not sure how the book did it since it doesn't explain it.
It says if we want $P(Z < 1.246)$ we must use interpolation and the steps given are:
$$P(Z < 1.24) + (6/10)[P(Z < 1.25) - P(Z < 1.24)].$$
Can someone explain to me where the $(6/10)$ came from? Shouldn't it be $(6/1000)$ since the $1.24+0.006 = 1.246?$ I am very very confused about how they got the 6 out of 1.246.

To find $(Z < 1.246),$ possible entry points into the table are 1.24 and 1.25.  The distance between them is .01. The distance from 1.24 to
1.246 is .006.  Then $.006/.01 = 6/10.$
Here are exact values from R statistical software:
 pnorm(.024); pnorm(.0246); pnorm(.025)
 ## 0.5095737  # P(Z < .024)
 ## 0.509813   # P(Z < .0246)
 ## 0.5099725  # P(Z < .025)

I suppose you get something like 0.5098 from the suggested method.
There are two reasons why this 'linear interpolation' method may not give an exact
answer: (a) tables are rounded to 4 (maybe 5) places, so there
is some rounding error, (b) the normal curve is 'almost' linear
over such a short distance, but it is really a curve, not a line.
Note: This method works reasonably well with various kinds of probability
tables. In case you encounter them later, linear interpolation
works less well with tables of the F distribution, and not at all
with tables of the chi-squared distribution when different 'degrees
of freedom' are involved.
