We first calculate the z-score corresponding to x = 1075 kWh. Given the mean of 1050 kWh, SD of 218 kWh, and sample size of n = 50, the formula for z is:
z = (x - mean) / (SD/sqrt(n)) = (1075 - 1050) / (218/sqrt(50)) = 0.81
From a z-table, the probability that z > 0.81 is 0.2090. Therefore, the probability that the mean of the 50 households is > 1075 kWh is 0.2090.
Z/2 + 1 = 3/2
(-1) = (-1)
z/2 = 1/2
(*2) = (*2)
z = 1
Answer:
one side of the equation is a quadratic equation, and the other side of the equation is a quadratic expression
Step-by-step explanation:
the description needs to be the same for each equation. For example linear and linear would work as well.
Step-by-step explanation:
The equation is y = 4 - 2x.
Since the precision of the voltmeter is <span>±0.005 V, the effective value range for the first measurement is 9.000 V to 9.010 V, for the second it is 9.001 V to 9.010 V, the third 9.013 V to 9.023 V and the fourth 9.021 V to 9.030 V. From all of these measurements the only one which the accepted value falls within the range is measurement 3.</span>
