Answer:
540 is the answer i think
Answer:
A person can select 3 coins from a box containing 6 different coins in 120 different ways.
Step-by-step explanation:
Total choices = n = 6
no. of selections to be made = r = 3
The order of selection of coins matter so we will use permutation here.
Using the formula of Permutation:
nPr = 
We can find all possible ways arranging 'r' number of objects from a given 'n' number of choices.
Order of coin is important means that if we select 3 coins in these two orders:
--> nickel - dime - quarter
--> dime - quarter - nickel
They will count as two different cases.
Calculating the no. of ways 3 coins can be selected from 6 coins.
nPr = = 
nPr = 120
Answer:
254 square inches
Step-by-step explanation:
A=pi*r^2
A=pi*(d/2)^2
A=3.14*(18/2)^2
A=3.14*(9)^2
A=3.14*81
A=254.34 in^2
So, rounded no the nearest whole, the answer is 254 in^2
Which is option 2 or B
Answer:
D) 32.5 ft
Step-by-step explanation:
Here we have to use the trigonometric ratio.
We need to find the length of the hypotenuse.
We use sin ratio.
Sin 38 = Opposite / Hypotenuse
Here opposite = 20, Hypotenuse = Length of the six cars
sin 38 = 20 / length of the six cars
The length of six cars = 20 / sin 38
The length of the six cars = 32.48
Which is closest to 32.5 ft
Thank you.
Answer:
Mean and IQR
Step-by-step explanation:
The measure of centre gives the central or the measure which gives the best mid term of a distribution. Based in the details of the box plot, the median is the value which divides the box in the box plot.
For company A:
Range = 25 to 80 with a median value at 30 ; this means the median does not give a good centre measure of the distribution ad it is very close to the minimum value. This goes for the Company B plot too; with values ranging from (35 to 90) and the median designated at 40.
Hence, the mean will be the best measure of centre rather Than the median in this case.
For the variability, the interquartile range would best suit the distribution. With the lower quartile and upper quartile both having reasonable width to the minimum and maximum value of the distribution.
