50 / 0.40 = 125
To check your answer, 125 * 0.4 = 50
Answer:
1.3888888888889 mps
Step-by-step explanation:
1 kph = 0.27777777777778 mps, so just multiply that by 5.
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:
The answer is 1/6y+1/6(y+12)-2
Step-by-step explanation:
I used a math calculator.
Answer:
<h2>2 x 2</h2>
Step-by-step explanation:
Dimensions: m x n
m = number of rows
n = number of columns
When multiplying two matrices:
m x n * n x k = m x k
MATIX 1:
m = number of rows
n = number of columns
MATRIX 2:
n = number of rows
k = number of columns
RESULTING MATIX:
m = number of rows
k = number of columns
2 x 3 * 3 x 2 = 2 x 2
