The area is 0.9270, approx.
It is 0.9270
95% of the area falls between Z = -1.96 & 1.96.
0% of a normal (of any) distribution falls between z 1.16 and z 1.16. 1.16 - 1.16 = 0.
Although I cannot prove it, I doubt that there is a nice closed-form expression for this quantity; it's probably not a rational number. It's value is approximately 0.0227501319482. (Using Python code.)
4.55% falls outside the mean at 2 standard deviation
By definition, the 1st 6-tile is the point below which 1/6 of the population falls (irrespective of which distribution is involved). The 2nd 6-tile is the point below which 2/6 of the population falls. This is 100 * 1/3 ~ 33.3% of the population.
The area within the normal curve between -1 standard deviation (SD) and +1 SD is approximately 68%. This means that about 68% of the data falls within one standard deviation of the mean in a normal distribution.
0.0124
Zero.
2
95% of the area falls between Z = -1.96 & 1.96.
-0.35
Approx 0.995
0% of a normal (of any) distribution falls between z 1.16 and z 1.16. 1.16 - 1.16 = 0.
Take it out
Demand curve is slope downward because of inverse relationship between price and quantity.
In normal demand curve, AR is equal to price and so it falls as output increases since the price has to be lowered in order to sell more products. based by: Jocelyn Blink, Ian Dorton, Economics Course companion, Oxford IB
The answer will depend on what the distribution is. Non-statisticians often assum that the variable that they are interested in follows the Standard Normal distribution. This assumption must be justified. If that is the case then the answer is 81.9%