Answer:
Explanation:
Given that a variable follows a standard normal distribution
Z is N(0,1)
Thus we can use the standard normal distribution table to find the required probabilities or c
a)
![P(z > -0.86)](https://img.qammunity.org/2020/formulas/mathematics/college/s8g63yvmzipyxmftt7fdngkc56vlk1p620.png)
We know std normal is symmetric about 0. Hence this prob is area from 0 to end on right side and 0 to 0.86 on left side
= sum of two prob = 0.3051+0.5=0.8051
b)
![P(z > c) = 0.3338](https://img.qammunity.org/2020/formulas/mathematics/college/30uj6g1vtiur8bzfcvw06f19279h1w71sq.png)
Since prob is less than 0.5 we find that c lies to the right of 0. i.e.c is positive
Between 0 and c prob
![= 0.5-0.3338 = 0.1662](https://img.qammunity.org/2020/formulas/mathematics/college/88z2uv0f7m4013vs2148cxqesuni8u67zp.png)
Seeing the table we find that c = 0.43