I believe the answer is C.
Answer:
7/64
Step-by-step explanation:
7/6÷8=7/6*1/8=7/64
Hope this helps :)
Answer:
TX: 0.23
LA: 0.24
MS: 0.03
AL: 0.03
FL: 0.47
Step-by-step explanation:
In the figure attached, the map is shown.
Total length of the shoreline: 367 + 397 + 44 + 53 + 770 = 1631 miles
probability of the ship landing in Texas: 367/1631 = 0.23
probability of the ship landing in Louisiana: 397/1631 = 0.24
probability of the ship landing in Mississippi: 44/1631 = 0.03
probability of the ship landing in Alabama: 53/1631 = 0.03
probability of the ship landing in Florida: 770/1631 = 0.47
Let's let "5x" represent the number of boys in the school play and "7x" represent the number of girls in the school play. 5x = boys 7x = girls If we know that the total number of students in the play equals 48, then that must be that both the number of boys and girls combined must equal 48: 5x + 7x = 48 12x = 48 x = 4 Now, take your x-value and plug it into both the boys' and girls' values to figure out how many boys and girls there are in the play: 5x = 5 (4) = 20 boys
7x = 7 (4) = 28 girls To find out how many more girls there are than boys in the play, just subtract the number of girls minus the number of boys: # girls - # boys = 28 - 20 = 8 This means that there are 8 more girls than boys in the school play
Answer:
What percentage of pick-up truck drivers want their next vehicle purchase to be another pick-up truck?
Should the speed limit be decreased on the highway connecting two large cities?
How many pedestrians would use a walkway built over a busy road?
Step-by-step explanation:
We use samples when using an entire population is not feasible.
It is not reasonable to ask every pick-up truck driver what they want their next purchase to be; there are too many owners of pick-up trucks. This means we should use a sample.
Many people drive a highway that connects two large cities. It is not reasonable to survey every person that drives it, so we should use a sample.
On a busy road, we may have many pedestrians; this means we should use a sample instead of the entire population.
