Answer:
The answer is below
Explanation:
The z score is a measure used in statistic to determine the number of standard deviations by which the raw score is above or below the mean. . The z score is given by:
![z=(x-\mu)/(\sigma)\\ where\ \mu \ is \ the\ mean, \sigma\ is\ the\ standard\ deviation\ and\ x \ is\ the\ raw\ score](https://img.qammunity.org/2021/formulas/mathematics/high-school/pwowtkqq3g0kdtycpwz7836oib0a9n1dym.png)
(a) Z = -0.12 and Z = 0.12
From the normal distribution table, Area between z equal -0.12 and z equal 0.12 = P(-0.12 < z < 0.12) = P(z < 0.12) - P(z < -0.12) = 0.5478 - 0.4522 = 0.0956 = 9.56%
b) The area that lies between Z = - 0.35 and Z=0
From the normal distribution table, Area between z equal -0.35 and z equal 0 = P(-0.35 < z < 0) = P(z < 0) - P(z < -0.35) = 0.5 - 0.3594 = 0.1406 = 14.06%
c) The area that lies between Z = 0.02 and Z = 0.82
From the normal distribution table, Area between z equal 0.02 and z equal 0.82 = P(0.02 < z < 0.82) = P(z < 0.82) - P(z < 0.02) = 0.7939 - 0.5080 = 0.2859 = 28.59%