Answer:
0.36878
Step-by-step explanation:
Given that:
Mean number of miles (m) = 2135 miles
Variance = 145924
Sample size (n) = 40
Standard deviation (s) = √variance = √145924 = 382
probability that the mean of a sample of 40 cars would differ from the population mean by less than 29 miles
P( 2135 - 29 < z < 2135 + 29)
Z = (x - m) / s /√n
Z = [(2106 - 2135) / 382 / √40] < z < [(2164 - 2135) / 382 / √40]
Z = (- 29 / 60.399503) < z < (29 / 60.399503)
Z = - 0.4801364 < z < 0.4801364
P(Z < - 0.48) = 0.31561
P(Z < - 0.48) = 0.68439
P(- 0.480 < z < 0.480) = 0.68439 - 0.31561 = 0.36878
= 0.36878
Answer:
just use symbolab it gives you the answer and the work
Step-by-step explanation:
i would show you but its easier if you do it
(y - yo) = m.(x - xo)
We have two points (-4, -1) and (1, 4)
(-1 - 4) = m.(-4 - 1)
(-5) = m.(-5)
m = (-5)/(-5)
m = 1
So the slope is 1
Answer:
That would be a decrease of 40%
Step-by-step explanation:
Answer:
im sorry
Step-by-step explanation:
i dont kno
