The standard Normal distribution is symmetric about 0 and so 50% of the Z values are positive.
366.66666666666663 percent Detailed answer: Where: 75 is the old value and 350 is the new value. In this case we have a positive change (increase) of 366.66666666666663 percent because the new value is smaller than the old value.Detailed answer:
The absoluate value of a positive integer is the integer itself.The absoluate value of a positive integer is the integer itself.The absoluate value of a positive integer is the integer itself.The absoluate value of a positive integer is the integer itself.
Divide the calculated or estimated error by the magnitude of the measurement. Take the absolute value of the result, that is, if it is negative, convert to positive. This would make the percent error = | error / measurement |.
The positive numeric value of 16000 is 16000 it self
9f you are using the equation %error =[(oberved value - true value)/true value]x100 a negative percent indicates the observed value is less than the true value by the calculated percent.
0.97
z = ±0.44
z value=0.44
Negative z value means that the raw dat is below the mean, if z value is positive it means that the raw data is above the mean.
The Z value is 0.
The value is 0.3055
Pr{z<=1.0805}~=0.86
z = 0.8416
The Z-value for a one-sided 91% confidence interval is 1.34
z = 0.6903
1.96
1.15