1/3 of an hour is 20 minutes so 20 divided by 4 is 5 minutes per 1 mile.
1/3 of a mile is 4 hours so a full mile would be 3 times 4 which is 12 so every 12 hours is 1 mile.
1/2 a mile takes 3 hours and 2 times 3 is 6 so every 6 hours is 1 mile.
A. 5 minutes per mile
B. 12 hours per mile
C. 6 hours per mile
The correct choice is A.
I hope this helped you
Worksheet is asking you for the numbers and tell you where they are placed.
Across:
1: 123
4: 354
6: 789
7: 926
9: 496
11: 351
13:435
15:872
17:503
19: 214
20: 914
21: 37
22: 479
Down:
1: 187
2: 339
5: 492
8: 653
10: 999 - 15 = 984
12: 137
14:554
15:864
16:213
18:397
21:352
Answer:
J'(-2,5)
K'(-7,5)
M'(-3.5,2)
L'(5.5,2)
Step-by-step explanation:
Please refer to the image attached to this answer.
Trapezoid JKLM is reflected over the x-axis, what do we notice about the ordered pairs of the original figure and the ordered pairs of its reflection over the x-axis is described below.
Point J , K L and M , when reflected over x axis , there distance from the y axis remains the same in second quadrant. the x coordinate becomes negative however the y coordinates remains the same.
The coordinates will be as shown in the image attached.
9514 1404 393
Answer:
3 1/3
Step-by-step explanation:
Multiply both sides by the reciprocal of the coefficient of c.
(5/2c)(2/5) = (8 1/3)(2/5)
c = (25/3)(2/5) = 50/(3·5) = 10/3
c = 10/3 = 3 1/3
Answer:
p-value
Step-by-step explanation:
When performing any hypothesis test the first step is to formulate Null Hypothesis and Alternate Hypothesis. Next we calculate the test statistic and based on the test statistic we calculate a p-value.
This p-value gives the probability of obtaining the test result which is as atleast as extreme as our original test result, if the Null hypothesis is assumed to be true.
So, this means, the null hypothesis is assumed to be true and the statistical test is performed which gives a p-value. p-value gives a measure in terms of probability that how true is the result.
A higher p-value means probability occurrence of hypothesized value of Null Hypothesis is larger, so we accept the Null Hypothesis. A small p-value indicates the probability of occurrence of hypothesized value is very small, and, therefore, the null hypothesis must be rejected.