The tables for Z-scores are given in the form of P = Prob(Z < z) for various value of P and z.
Since Prob(Z > z) = 0.93 > 0.5, then by symmetry, z < 0.
So suppose z = -a where a > 0
Now Prob(Z > -a) = 0.93 is the same as Prob(Z < a) = 0.93 [because the standard Normal is symmetric].
therefore, from the tables, a = 1.4758 (approx)
and so z = -1.4758 (approx).
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
-0.772 < Z < 0.772
2.275 %
70 percent is the greater discount.
35% of 60 is the greater amount.
25 percent
50%
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
It is 68.3%
95% is within 2 standard deviations of the mean.
0.13
z = 0.8416
It depends on the shape of the distribution. For standard normal distribution, a two tailed range would be from -1.15 sd to + 1.15 sd.
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
false
-0.772 < Z < 0.772
2.275 %