Answer:( -22•3a7b7c8)
Step-by-step explanation:
STEP1
Equation at the end of step 1
((0-(((4•(a3))•b)•(c2)))•(((a3)•(b2))•c))•(3ab4•c5)
STEP 2
Equation at the end of step2
((0 - ((22a3 • b) • c2)) • a3b2c) • 3ab4c5
STEP 3
Multiplying exponential expressions :
3.1 a6 multiplied by a1 = a(6 + 1) = a7
Multiplying exponential expressions :
3.2 b3 multiplied by b4 = b(3 + 4) = b7
Multiplying exponential expressions :
3.3 c3 multiplied by c5 = c(3 + 5) = c8
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.
This is probably wrong but my guess is 13 so maybe verify it but that’s my best!
The rate of change is meaning the slope. The slope of A is 8, therefore, the answer would be 7.
